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International Joint Conference on Neural Networks;IJCNN 2009
International Joint Conference on Neural Networks;IJCNN 2009
召开年:
2009
召开地:
Atlanta, GA(US);Atlanta, GA(US)
出版时间:
-
会议文集:
-
会议论文
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1.
Fuzzy ARTMAP rule extraction in computational chemistry
机译:
计算化学中的模糊ARTMAP规则提取
作者:
Andonie, R.
;
Fabry-Asztalos, L.
;
Crivat, B.
;
Abdul-Wahid, S.
;
Abdul-Wahid, B.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
chemistry computing;
decision trees;
drugs;
fuzzy set theory;
learning (artificial intelligence);
CART trees;
Microsoft decision trees;
computational chemistry;
drug discovery;
fuzzy ARTMAP;
incremental learning system;
neuro-fuzzy algorithm;
rule extraction;
2.
Emergence of perceptual states in nonlinear lattices: A new computational model for perception
机译:
非线性晶格中感知状态的出现:一种新的感知计算模型
作者:
Arena, P.
;
De Fiore, S.
;
Lombardo, D.
;
Patane, L.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cellular neural nets;
cognitive systems;
mobile robots;
nonlinear differential equations;
partial differential equations;
path planning;
reaction-diffusion systems;
unsupervised learning;
brain region;
cellular neural network;
cluttered environment;
cognitive behavior;
competitive reflexes;
nonlinear lattices;
perceptual control architecture;
perceptual states;
reaction-diffusion nonlinear partial differential equation;
representation layer;
robot behavior;
rover navigation;
sensory-motor pathway;
steady-state Turing pattern;
3.
Patient stratification with competing risks by multivariate Fisher distance
机译:
通过多元Fisher距离对具有竞争风险的患者进行分层
作者:
Bacciu, D.
;
Jarman, I.H.
;
Etchells, T.A.
;
Lisboa, P.J.G.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
health care;
learning (artificial intelligence);
neural nets;
patient care;
patient diagnosis;
pattern clustering;
Fisher information matrix;
GIMEMA consortium;
acute myeloid leukaemia;
automatic relevance determination;
cluster number estimation;
complete remission;
data space affine transformation;
effective care delivery;
generic clustering methodology;
induction death;
multivariate Fisher distance;
partial logistic artificial neural networks;
patient stratification;
patients characterization;
personalized care;
semisupervised approach;
4.
Nonlinear controller optimization of a power system based on reduced multivariate polynomial model
机译:
基于简化多元多项式模型的电力系统非线性控制器优化
作者:
Seung-Mook Baek
;
Jung-Wook Park
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Hessian matrices;
control system synthesis;
nonlinear control systems;
optimisation;
power system stability;
Hessian matrix;
hybrid system modeling;
low-frequency oscillation damping performance;
nonlinear controller design;
nonlinear controller optimization;
one-shot training property;
optimal tuning;
power system stabilizer;
reduced multivariate polynomial model;
5.
IJCNN 2009 conference proceedings
机译:
IJCNN 2009会议记录
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
neural nets;
6.
2009 International Neural Network Society Officers
机译:
2009国际神经网络学会官员
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
7.
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems
机译:
基于自适应动态规划的仿射非线性离散时间系统最优控制
作者:
Dierks, T.
;
Thumati, B.T.
;
Jagannathan, S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
affine transforms;
asymptotic stability;
discrete time systems;
dynamic programming;
neurocontrollers;
nonlinear control systems;
optimal control;
NN functional reconstruction errors;
adaptive dynamic programming;
affine nonlinear discrete-time systems;
discrete time approximate dynamic programming techniques;
identification process;
neural network;
nonlinear systems;
offline optimal control training;
online system identification;
plant dynamics;
Nonlinear optimal control;
heuristic dynamic programming;
system identification;
8.
Conference information
机译:
会议信息
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
9.
IJCNN 2009 reviewers
机译:
IJCNN 2009审稿人
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
10.
Fast principal component analysis for face detection using cross-correlation and image decomposition
机译:
使用互相关和图像分解的人脸检测快速主成分分析
作者:
El-Bakry, H.M.
;
Hamada, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
correlation methods;
divide and conquer methods;
eigenvalues and eigenfunctions;
face recognition;
object detection;
principal component analysis;
cross-correlation;
divide and conquer strategy;
eigenvector;
face detection;
fast PCA;
fast principal component analysis;
image decomposition;
11.
Fast record detection in large databases using new high speed time delay neural networks
机译:
使用新型高速时延神经网络在大型数据库中进行快速记录检测
作者:
El-Bakry, H.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
frequency-domain analysis;
neural nets;
very large databases;
Matlab;
data collection;
fast record detection;
frequency domain cross correlation;
high speed time delay neural network;
large databases;
Code/Record Detection;
Cross Correlation;
Fast Time Delay Neural Networks;
Frequency Domain;
12.
Estimation of classification complexity
机译:
估计分类复杂度
作者:
Elizondo, D.A.
;
Birkenhead, R.
;
Gamez, M.
;
Garcia, N.
;
Alfaro, E.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
computational complexity;
multilayer perceptrons;
pattern classification;
classification complexity estimation;
classification problems;
linear separability;
recursive deterministic perceptron feed-forward multilayer neural network;
13.
Welcome from the general chair
机译:
董事长致辞
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
14.
Program committee
机译:
程序委员会
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
15.
Voice-based gender identification via multiresolution frame classification of spectro-temporal maps
机译:
通过光谱-时间图的多分辨率帧分类进行基于语音的性别识别
作者:
Abdollahi, M.
;
Valavi, E.
;
Noubari, H.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
feature extraction;
speech recognition;
auditory spectrogram;
cochleagram;
mel-spemelctrogram;
multiresolution frame classification;
spectro-temporal maps;
speech signals;
voice-based gender identification;
weighting algorithm;
gender classification;
multiresolution (MR) techniques;
spectro-temporal map;
wavelet frame;
16.
Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study
机译:
用于图像分类的空间金字塔和两层堆叠SVM分类器:比较研究
作者:
Abdullah, A.
;
Veltkamp, R.C.
;
Wiering, M.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
image classification;
image recognition;
image resolution;
learning (artificial intelligence);
probability;
support vector machines;
image categorization;
machine learning classifier;
multiple spatial resolution;
naive solution;
spatial pyramid;
support vector machine;
two-layer stacking;
17.
Orienting learning by exploiting sociality: An evolutionary robotics simulation
机译:
通过社交来定向学习:进化机器人模拟
作者:
Acerbi, A.
;
Marocco, D.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
learning (artificial intelligence);
mobile robots;
evolutionary robotics simulation;
exploiting sociality;
orienting learning;
reinforcing positive feedback;
18.
The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge
机译:
MLP神经网络的时态特征提取和袋装在解决WCCI 2008福特分类挑战中的作用
作者:
Adeodato, P.J.L.
;
Arnaud, A.L.
;
Vasconcelos, G.C.
;
Cunha, R.C.L.V.
;
Gurgel, T.B.
;
Monteiro, D.S.M.P.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
feature extraction;
multilayer perceptrons;
signal sampling;
MLP neural networks;
WCCI 2008's Ford Classification Challenge;
decision threshold;
multi-layer perceptrons;
multiple random sampling;
noiseless data;
noisy data;
signal frequency;
signal power;
signal to noise ratio;
temporal feature extraction;
19.
Batch linear manifold topographic map with regional dimensionality estimation
机译:
具有区域维数估计的批线性流形地形图
作者:
Adibi, P.
;
Safabakhsh, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
expectation-maximisation algorithm;
minimisation;
neural nets;
unsupervised learning;
data set;
expectation-maximization procedure;
machine learning;
neural net;
regional dimensionality estimation;
unified free energy functional;
unsupervised batch linear manifold topographic map;
20.
High Order Neural Networks for wind speed time series prediction
机译:
高阶神经网络用于风速时间序列预测
作者:
Alanis, A.Y.
;
Ricalde, L.J.
;
Sanchez, E.N.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Kalman filters;
chaos;
load forecasting;
neural nets;
power engineering computing;
time series;
wind power;
chaotic behavior;
extended Kalman filter;
forecasting techniques;
high order neural networks;
wind forecasting;
wind speed time series prediction;
21.
Automated classification of dopaminergic neurons in the rodent brain
机译:
啮齿动物脑中多巴胺能神经元的自动分类
作者:
Alavi, A.
;
Cavanagh, B.
;
Tuxworth, G.
;
Meedeniya, A.
;
Mackay-Sim, A.
;
Blumenstein, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
diseases;
neural nets;
pattern classification;
Apotome;
Carl Zeiss Axioimager Z1 microscope;
Parkinson diseases;
Schizophrenia;
automated classification;
back propagation neural networks;
bioimage classification;
brain function;
classification method;
dopaminergic neurons;
image representation;
manual morphological analysis;
morphological characterization;
motor behaviour;
multinomial logistic regression;
multiple neurological disorder;
multiple neuronal classes;
rodent brain;
salient information;
structural feature extraction;
support vector machines;
22.
Neural numerical modeling for uncertain distributed parameter systems
机译:
不确定分布参数系统的神经数值建模
作者:
Fuentes, R.
;
Poznyak, A.
;
Chairez, I.
;
Poznyak, T.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
convergence of numerical methods;
distributed parameter systems;
neurocontrollers;
nonparametric statistics;
parameter estimation;
partial differential equations;
uncertain systems;
adaptive law;
convergence;
differential neural network;
mathematical model;
neural network trajectory;
neural numerical modeling;
nonparametric modeling problem;
parameter identification;
partial differential equation;
tubular reactor system;
uncertain distributed parameter systems;
weight dynamics;
23.
Discrete-time decentralized neural block controller for a five DOF robot manipulator
机译:
五自由度机器人的离散时间分散神经块控制器
作者:
Garcia-Hernandez, R.
;
Sanchez, E.N.
;
Saad, M.
;
Bayro-Corrochano, E.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Kalman filters;
angular velocity control;
control system synthesis;
decentralised control;
discrete time systems;
learning (artificial intelligence);
manipulators;
neurocontrollers;
position control;
recurrent neural nets;
variable structure systems;
5DOF robot manipulator;
Kalman filtering;
angular position measurement;
controller design;
discrete-time block control;
discrete-time control law;
discrete-time decentralized neural block controller;
local joint controllers;
neural network learning;
recurrent high order neural network structure;
sliding modes techniques;
trajectory tracking;
velocity measurements;
24.
Bounded-time system identification under neuro-sliding training
机译:
神经滑动训练下的时限系统识别
作者:
Garcia-Rodriguez, R.
;
Zegers, P.
;
Parra-Vega, V.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Lyapunov methods;
convergence;
feedback;
multilayer perceptrons;
neurocontrollers;
nonlinear control systems;
time-varying systems;
variable structure systems;
Lyapunov stability theory;
adalines;
bounded-time system identification;
chattering free sliding mode;
finite-time convergence;
invariant differential manifold;
neural network training method;
neuro-sliding training;
nonlinear robot arm;
nonlinear systems;
second order sliding mode;
sliding mode surface;
time-varying feedback gain;
25.
Design of artificial neural networks using a modified Particle Swarm Optimization algorithm
机译:
基于改进粒子群算法的人工神经网络设计
作者:
Garro, B.A.
;
Sossa, H.
;
Vazquez, R.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
neural nets;
particle swarm optimisation;
topology;
artificial neural network;
bio-inspired algorithm;
modified particle swarm optimization;
nonlinear optimization problem;
optimal synaptic weight;
26.
Neural networks for fitting PES data distributions of asphaltene interaction
机译:
拟合沥青质相互作用的PES数据分布的神经网络
作者:
Gasca, E.
;
Pacheco, J.H.
;
Alvarez, F.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
approximation theory;
binding energy;
learning (artificial intelligence);
molecular collisions;
molecules;
neural nets;
potential energy surfaces;
PES data distribution;
asphaltene-asphaltene molecular interaction;
binding energy fitting;
compass classical force field;
contact distance;
data dispersion;
function approximation;
intermolecular pair potential interaction;
molecule-molecule geometry orientation;
neural network;
potential energy surface;
27.
A model of an intraconnected neural parallel bidirectional memory
机译:
内连接神经并行双向记忆的模型
作者:
Bhatti, A.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
content-addressable storage;
information retrieval systems;
parallel memories;
parallel processing;
reliability;
signal denoising;
compound vector;
interfiled connection;
intraconnected PBAM;
intraconnected neural parallel bidirectional memory;
intraconnected parallel bidirectional associative memory;
intrafield connection;
neural model;
neuron field;
signal to noise ratio;
storage capacity;
28.
Global optimization, Meta Clustering and consensus clustering for class prediction
机译:
用于类预测的全局优化,元聚类和共识聚类
作者:
Bifulco, I.
;
Fedullo, C.
;
Napolitano, F.
;
Raiconi, G.
;
Tagliaferri, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
biology computing;
optimisation;
pattern clustering;
random processes;
sampling methods;
biological data set;
class label;
class prediction;
cluster analysis;
cluster enrichment information;
consensus clustering;
fitness function;
global optimization;
meta clustering;
optimization model;
partial labeling;
random sample;
29.
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data
机译:
局部逻辑人工神经网络(PLAN)用于对生存数据进行灵活建模
作者:
Biganzoli, E.M.
;
Ambrogi, F.
;
Boracchi, P.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
data handling;
data structures;
feedforward neural nets;
medical computing;
regression analysis;
biological interest;
censored survival data;
data representation;
feed forward artificial neural networks;
linear flexible regression analysis;
nonlinear flexible regression analysis;
partial logistic artificial neural networks;
specific error functions;
statistical analysis;
30.
Local properties of RBF-SVM during training for incremental learning
机译:
增量学习训练期间RBF-SVM的局部属性
作者:
Emara, W.
;
Kantardzic, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
learning (artificial intelligence);
radial basis function networks;
support vector machines;
incremental learning;
machine learning algorithm;
mathematical formalization;
radial basis function network;
support vector machine;
31.
A robust nonlinear projection method using the neural gas network
机译:
使用神经气体网络的鲁棒非线性投影方法
作者:
Estevez, P.A.
;
Chong, A.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Hebbian learning;
differential geometry;
self-organising feature maps;
vector quantisation;
Hebbian learning rule;
Iris;
geodesic distance estimation;
neural gas algorithm;
neural gas network;
noisy Swiss Roll;
robust nonlinear projection method;
self-organizing neural networks;
32.
Online temporal pattern learning
机译:
在线时间模式学习
作者:
Farahmand, N.
;
Dezfoulian, M.H.
;
GhiasiRad, H.
;
Mokhtari, A.
;
Nouri, A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
image motion analysis;
mobile robots;
multi-robot systems;
neurocontrollers;
object recognition;
robot vision;
self-organising feature maps;
sport;
unsupervised learning;
hierarchical temporal memory;
object motion recognition;
robocup 3D soccer simulation league;
self-organizing visual system;
soccer bot;
unsupervised online learning algorithm;
33.
Learning averages over the lie group of unitary matrices
机译:
unit矩阵谎言组的平均学习
作者:
Fiori, S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Lie algebras;
Lie groups;
differential geometry;
learning (artificial intelligence);
matrix algebra;
Lie group theory;
average learning;
differential geometrical properties;
learning technique;
unitary matrices;
34.
Maximal-discrepancy bounds for regularized classifiers
机译:
正则化分类器的最大差异边界
作者:
Decherchi, S.
;
Gastaldo, P.
;
Redi, J.
;
Zunino, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
iterative methods;
learning (artificial intelligence);
pattern classification;
iterative procedure;
machine learning;
maximal-discrepancy bounds;
regularized classifiers;
run-time classification error;
35.
Vision based Injector Spray pattern Testing system
机译:
基于视觉的喷油器喷型测试系统
作者:
Desai, P.
;
Sasi, S.
;
Prabhakaran, M.K.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
CCD image sensors;
computer vision;
diesel engines;
fuel systems;
sprays;
CCD camera;
ITU-101 common rail tester;
diesel engine;
interactive user interface;
vision based injector spray pattern;
volumetric testing;
36.
A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments
机译:
在非平稳环境中求解偏微分方程的约束反向传播方法
作者:
Di Muro, G.
;
Ferrari, S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
approximation theory;
backpropagation;
boundary-value problems;
mathematics computing;
minimisation;
neural nets;
nonlinear differential equations;
numerical stability;
partial differential equations;
CPROP network;
boundary condition;
constrained backpropagation training technique;
constrained optimization;
continuous nonlinear mapping;
differential problem;
differential problem stability;
equality constraint;
error function minimization;
nonlinear PDE;
nonstationary environment;
partial differential equation solving;
sigmoidal neural network;
solution approximation;
37.
Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments
机译:
前馈人工神经网络通过不同的心理测验工具估计智障者的智商
作者:
Di Nuovo, A.G.
;
Di Nuovo, S.
;
Buono, S.
;
Catania, V.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cognition;
feedforward neural nets;
medical diagnostic computing;
psychometric testing;
IQ estimation;
Wechsler IQ;
Wechsler scales;
cognitive defect;
feedforward artificial neural network;
homogeneous diagnosis;
intellectual disability;
intelligence quotient;
mental retardation;
mental retarded people;
psychodiagnostic tool;
psychometric instrument;
psychometric test;
38.
Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networks
机译:
巴西手语的手部动作识别:基于距离的神经网络的研究
作者:
Dias, D.B.
;
Madeo, R.C.B.
;
Rocha, T.
;
Biscaro, H.H.
;
Peres, S.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
computer vision;
fuzzy neural nets;
fuzzy set theory;
handicapped aids;
image recognition;
learning (artificial intelligence);
natural languages;
self-organising feature maps;
vector quantisation;
Brazilian sign language;
Libras user;
distance-based artificial neural network;
learning vector quantization;
neural-fuzzy model;
self organizing map;
vision-based hand movement recognition;
39.
SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining
机译:
SERA:针对非平稳不平衡流数据挖掘的选择性递归方法
作者:
Sheng Chen
;
Haibo He
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
data mining;
learning (artificial intelligence);
probability;
sampling methods;
SERA;
class distribution;
concept drift;
current training data chunk;
imbalanced data stream;
nonstationary imbalanced stream data mining;
sampling probability;
selectively recursive approach;
40.
SNAC convergence and use in adaptive autopilot design
机译:
SNAC收敛并在自适应自动驾驶仪设计中使用
作者:
Songjie Chen
;
Yang Yang
;
Balakrishnan, S.N.
;
Nguyen, N.T.
;
Krishnakumar, K.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
adaptive control;
aircraft control;
algebra;
dynamic programming;
neurocontrollers;
nonlinear equations;
optimal control;
SNAC convergence;
SNAC training;
adaptive autopilot design;
approximate dynamic programming;
approximate optimal control;
damaged condition;
longitudinal dynamics;
nominal condition;
nominal control;
nonlinear algebraic equation;
online neural network;
single network adaptive critic;
41.
Solving convex optimization problems using recurrent neural networks in finite time
机译:
在有限时间内使用递归神经网络解决凸优化问题
作者:
Long Cheng
;
Zeng-Guang Hou
;
Homma, N.
;
Min Tan
;
Gupta, M.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
asymptotic stability;
convex programming;
recurrent neural nets;
asymptotical stability;
convex optimization problems;
exponential stability;
finite-time stability;
penalty function method;
recurrent neural networks;
switching structure;
42.
Nonlinear dimension reduction using ISOMap based on class information
机译:
使用基于类信息的ISOMap进行非线性降维
作者:
Minkook Cho
;
Hyeyoung Park
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
data analysis;
graph theory;
image processing;
learning (artificial intelligence);
Euclidean distance;
ISOMap algorithm;
artificial data sets;
classical multidimensional scaling method;
data structure;
data visualization;
facial data set;
geodesic distances;
large high-dimensional data set analysis;
machine learning;
manifold learning method;
nonlinear dimension reduction method;
pattern classification;
43.
Binary neural network based 3D facial feature localization
机译:
基于二进制神经网络的3D面部特征定位
作者:
Quan Ju
;
O'keefe, S.
;
Austin, J.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
face recognition;
feature extraction;
image matching;
image representation;
neural nets;
pose estimation;
3D facial feature localization approach;
AURA;
FRGC dataset;
MMCCD;
advanced uncertain reasoning architecture;
binary neural network algorithm;
facial feature identification;
feature pattern matching;
head pose descriptor;
k-nearest neighbour algorithm;
mesh-like multicircle curvature descriptor;
44.
A self-organizing neural network using fast training and pruning
机译:
使用快速训练和修剪的自组织神经网络
作者:
Qiao Jun-fei
;
Li Miao
;
Han Hong-gui
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Fourier transforms;
backpropagation;
feedforward;
iterative methods;
neural nets;
Levenberg-Marquardt algorithm;
extended Fourier amplitude;
fast training algorithm;
feed-forward neural network;
fixed value subset-based training algorithm;
pruning algorithm;
self-organizing neural network;
training iteration;
Fourier amplitude;
Pruning;
Subset-based training;
45.
An intelligent hybrid controller for speed control and stabilization of synchronous generator
机译:
用于同步发电机速度控制和稳定的智能混合控制器
作者:
Kamalasadan, S.
;
Swann, G.D.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
adaptive control;
machine control;
neurocontrollers;
nonlinear functions;
predictive control;
stability;
synchronous generators;
uncertain systems;
velocity control;
feed forward neural network;
intelligent hybrid control;
model reference adaptive control;
nonlinear function;
plant functional approximation;
speed control;
synchronous generator;
uncertain system;
46.
An intelligent paradigm for electric generator control based on supervisory loops
机译:
基于监控回路的发电机控制智能范例
作者:
Kamalasadan, S.
;
Swann, G.D.
;
Ghandakly, A.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Lyapunov methods;
intelligent control;
machine control;
model reference adaptive control systems;
radial basis function networks;
Lyapunov function;
electric generator control;
intelligent adaptive controller;
intelligent paradigm;
model reference adaptive control;
plant functional approximation control;
radial basis function neural network;
single machine infinite bus system;
supervisory loops;
47.
Selective enhancement learning in competitive learning
机译:
竞争学习中的选择性增强学习
作者:
Kamimura, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
information theory;
knowledge representation;
learning (artificial intelligence);
minimisation;
neural nets;
Senate problem;
competitive learning;
connection weight;
explicit representation;
free energy minimization;
information enhancement;
neural networks;
selective enhancement learning;
variable selection;
48.
Self-enhancement learning: Self-supervised and target-creating learning
机译:
自我增强学习:自我指导和目标创造学习
作者:
Kamimura, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Gaussian processes;
learning (artificial intelligence);
self-organising feature maps;
Gaussian width;
SOM;
relaxed state;
self-enhancement learning;
self-supervised learning;
target-creating learning;
49.
Sonar based Simultaneous Localization and Mapping using a Neuro Evolutionary Optimization
机译:
基于声纳的同时定位和映射使用神经进化优化
作者:
Jeong-Gwan Kang
;
Su-Yong An
;
Sunhyo Kim
;
Se-Young Oh
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
SLAM (robots);
evolutionary computation;
mobile robots;
neurocontrollers;
position control;
sensors;
sonar;
autonomous mobile robot;
evolutionary programming;
global optimization problem;
neural network;
neuro evolutionary optimization algorithm;
robot trajectory;
simultaneous localization and mapping;
sonar sensor measurements;
50.
Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsy™
机译:
基于i-biopsy™的智能临床决策支持对慢性丙型和乙型肝炎的干扰素治疗
作者:
Floares, A.G.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
data mining;
decision support systems;
diseases;
liver;
medical diagnostic computing;
patient treatment;
chronic hepatitis B;
chronic hepatitis C;
i-Biopsy;
intelligent clinical decision support;
interferon therapeutical decision;
interferon treatment;
knowledge discovery;
liver biopsy;
noninvasive data sources;
51.
Orientational features with the SNT-grid
机译:
SNT网格的定向功能
作者:
Foullon-Perez, A.
;
Lucas, S.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
entropy;
image classification;
image segmentation;
optical character recognition;
2D image classification;
SNT-grid;
Scanning N-Tuple Grid;
entropy training;
feature extraction;
maximum likelihood training;
orientational features;
pre-segmented characters;
52.
Cortical mechanisms of memory formation and readout
机译:
记忆形成和读出的皮层机制
作者:
Freeman, W.J.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
band-pass filters;
brain models;
electroencephalography;
neurophysiology;
ECoG;
EEG;
Rayleigh noise;
Rice distribution;
band pass filter;
black noise;
brain activity;
brain spontaneous background activity;
cortical mechanisms;
distributed inhibitory feedback;
intracranial electrocorticogram;
memory formation;
memory readout;
memory recall;
microscopic activity pattern;
mutual excitation;
neural population;
nonrandom spatiotemporal structure;
perception;
repetitive phase transition;
scale-free brown noise;
scalp electroencephalogram;
sensory guidance;
spatial brain wave pattern;
synaptic distribution;
53.
Tree structures with attentive objects for image classification using a neural network
机译:
带有注意对象的树形结构,用于使用神经网络进行图像分类
作者:
Hong Fu
;
Shuya Zhang
;
Zheru Chi
;
Feng, D.D.
;
Xiaoyu Zhao
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
backpropagation;
image classification;
image segmentation;
tree data structures;
BPTS;
attention-driven image interpretation algorithm;
attentive object;
back propagation through structure algorithm;
neural network training;
tree structure;
54.
Sequential hierarchical recruitment learning in a network of spiking neurons
机译:
尖峰神经元网络中的顺序分级募集学习
作者:
James, D.
;
Maida, A.S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cognition;
neural nets;
topology;
unsupervised learning;
biologically-grounded learning mechanisms;
hierarchical binding;
leaky integrate-and-fire neurons;
sequential hierarchical recruitment learning;
spiking neurons;
temporal XOR-style task;
55.
The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons
机译:
神经元动力学的重新规范化可以增强突触耦合神经元之间的时间同步
作者:
Jibril, G.O.
;
Guler, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
neural nets;
ion channel;
neuronal dynamics;
renormalization;
synaptically coupled neurons;
temporal synchronization;
56.
Online identification of generator dynamics in a multimachine power system with a spiking neural network
机译:
尖峰神经网络在线识别多机动力系统中的发电机动力学
作者:
Johnson, C.
;
Venayagamoorthy, G.K.
;
Mitra, P.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
adaptive control;
condition monitoring;
control system synthesis;
electric generators;
gradient methods;
learning systems;
machine control;
neurocontrollers;
power system control;
power system identification;
IEEE 10-machine 39-bus New England power system;
generator dynamics;
gradient descent algorithm;
intelligent controller design;
multimachine power system;
online identification;
power network perturbation;
speed deviation estimation;
spiking neural network training;
spiking neuron integrate-and-fire model;
terminal voltage deviation estimation;
57.
Rapid and direct quantification of longitudinal relaxation time (T
机译:
快速和直接定量的纵向弛豫时间(T
作者:
Bagher-Ebadian, H.
;
Paudyal, R.
;
Mikkelsen, T.
;
Jiang, Q.
;
Ewing, J.R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
biomedical MRI;
least squares approximations;
medical image processing;
neural nets;
tumours;
ANN estimator;
LL signal;
SNR;
adaptive neural network;
capillary permeability;
dynamic contrast-enhanced MRI;
longitudinal relaxation time;
look-locker sequence;
nonnegative least-squares fitting;
perfusion;
physiological parameter quantification;
simplex method;
tissue interstitial space;
tissue physiological parameter;
tumorous tissues;
58.
Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology
机译:
通过遗传编程学习神经网络中的神经元功能:在地球物理学和水文地质学中的应用
作者:
Barton, A.J.
;
Valdes, J.J.
;
Orchard, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
genetic algorithms;
geophysics;
geophysics computing;
hydrology;
neural nets;
gene expression programming;
genetic programming;
hydrogeology;
neural network classifier;
neural network neurons;
neuron functions;
59.
Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics
机译:
在手臂动力学的非线性模型中研究最佳感觉和运动协同作用的属性
作者:
Bayati, H.
;
Vahdat, S.
;
Vahdat, B.V.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
biomechanics;
muscle;
neurophysiology;
arm dynamics;
motor coordination;
motor primitives;
motor synergy;
muscle arm model;
nonlinear dynamics;
optimal sensory;
60.
Partitioning strategies for modular neural networks
机译:
模块化神经网络的分区策略
作者:
Bender, T.
;
Gordon, V.S.
;
Daniels, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
neural nets;
partitioning strategy;
self-splitting modular neural network;
two-spiral classification problem;
visualization tool;
weight initialization strategy;
61.
Visualization tool for a Self-Splitting modular Neural Network
机译:
自分解模块化神经网络的可视化工具
作者:
Gordon, V.S.
;
Daniels, M.
;
Boheman, J.
;
Watstein, M.
;
Goering, D.
;
Urban, B.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
divide and conquer methods;
neural nets;
2D projection;
divide-and-conquer strategy;
self-splitting modular neural network;
visualization tool;
62.
From variable weighting to cluster characterization in topographic unsupervised learning
机译:
在地形无监督学习中从变量加权到聚类表征
作者:
Grozavu, N.
;
Bennani, Y.
;
Lebbah, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
minimisation;
pattern clustering;
self-organising feature maps;
unsupervised learning;
vectors;
SOM;
cluster characterization;
cost function minimization;
local weighting distance;
local weighting observation;
self-organizing map;
topographic unsupervised learning;
variable weighting vector;
63.
Which model to use for the Liquid State Machine?
机译:
液体状态机使用哪种型号?
作者:
Grzyb, B.J.
;
Chinellato, E.
;
Wojcik, G.M.
;
Kaminski, W.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
brain;
neurophysiology;
Euclidean distance;
brain cortex;
liquid column responses;
liquid hypercolumn;
liquid state machine;
mammalians visual system;
neural model;
64.
Temporal semantics: An extended definition for neural morphisms
机译:
时间语义:神经形态学的扩展定义
作者:
Healy, M.J.
;
Caudell, T.P.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
information retrieval;
knowledge representation;
neural nets;
episodic information retrieval;
neural memory representation;
neural morphisms;
neural network semantic;
temporal semantics;
time sequence;
weight adaptation;
65.
Application of PSO and MPSO in project scheduling of the first mining face in coal mining
机译:
PSO和MPSO在煤矿首采工作面项目调度中的应用。
作者:
Haixiang Guo
;
Lanlan Li
;
Kejun Zhu
;
Chang Ding
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
coal;
decision making;
graph theory;
mining;
particle swarm optimisation;
project management;
scheduling;
Ping'an coal mine;
coal mining;
decision-making;
intelligent optimization methods;
modified particle swarm optimization;
network graph;
program evaluation and review technique method;
project scheduling;
66.
Learning the number of gaussian components using hypothesis test
机译:
使用假设检验学习高斯分量的数量
作者:
Gyeongyong Heo
;
Gader, P.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Gaussian processes;
computational complexity;
expectation-maximisation algorithm;
fuzzy set theory;
possibility theory;
statistical testing;
G-means;
Gaussian components;
Gaussian mixture;
Kolmogorov-Smirnow test;
PG-means;
XPG-means;
expectation-maximization algorithms;
extended projected Gaussian means;
fuzzy clustering;
k-means;
one-dimensional statistical hypothesis test;
possibilistic fuzzy C-means algorithm;
projected Gaussian-means algorithms;
wrapper algorithms;
67.
Temporal competitive learning induced in neural networks by spike timing-dependent plasticity
机译:
尖峰时序相关可塑性在神经网络中诱导的时间竞争性学习
作者:
Wei Guo
;
Liqing Zhang
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
neural nets;
neurophysiology;
unsupervised learning;
additive learning rule;
coding mechanism;
computational STDP model;
firing pattern;
global depression;
many-to-many network;
many-to-one network;
multiplicative STDP model;
multiplicative learning rule;
neural network;
neural processing;
pattern grouping;
postsynaptic neuron;
presynaptic neurons;
spike timing-dependent plasticity;
temporal competitive learning;
temporal correlated neural activity;
68.
Robust kernel PCA using fuzzy membership
机译:
使用模糊隶属度的稳健内核PCA
作者:
Gyeongyong Heo
;
Gader, P.
;
Frigui, H.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
affine transforms;
covariance matrices;
eigenvalues and eigenfunctions;
fuzzy set theory;
iterative methods;
pattern recognition;
principal component analysis;
affine transform;
covariance matrix;
dimensionality reduction;
eigenvectors;
fuzzy membership;
iterative method;
linear principal component;
noise sensitivity problem;
robust estimation technique;
robust kernel PCA;
69.
Creating an ensemble of diverse support vector machines using Adaboost
机译:
使用Adaboost创建各种支持向量机的集合
作者:
Lima, N.H.C.
;
Neto, A.D.D.
;
de Melo, J.D.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Gaussian processes;
learning (artificial intelligence);
pattern classification;
radial basis function networks;
support vector machines;
Adaboost-based ensemble algorithm;
Gaussian width parameter;
RBF-SVM;
diverse support vector machine learning;
70.
The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM training
机译:
多对SMO:一种改进的SMO算法,用于加速SVM训练
作者:
Hernandez, R.A.
;
Strum, M.
;
Wang Jiang Chau
;
Gonzalez, J.A.Q.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
computational complexity;
quadratic programming;
support vector machines;
SVM training;
modified SMO algorithm;
multiple pairs SMO;
sequential minimal optimization algorithm;
support vector machine;
71.
A model of cooperative agent based on imitation and Maslow's Pyramid of needs
机译:
基于模仿和马斯洛需求金字塔的合作代理模型
作者:
Le Guen, H.
;
Sorin, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cooperative systems;
human factors;
human-robot interaction;
mobile robots;
neural nets;
psychology;
software agents;
Maslow pyramid of needs;
artificial neural network;
autonomous agents;
autonomous robot;
bidirectional social needs;
cooperative agent;
emotional expression;
imitation;
self-organization;
survival rate;
72.
An improved method of DHP for optimal control in the clarifying process of sugar cane juice
机译:
一种改进的DHP方法在甘蔗汁澄清过程中的最佳控制
作者:
Xiaofeng Lin
;
Jiaran Yang
;
Huixia Liu
;
Shaojian Song
;
Chunning Song
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
control nonlinearities;
delays;
dynamic programming;
neurocontrollers;
nonlinear control systems;
nonlinear dynamical systems;
optimal control;
pH control;
process control;
sugar industry;
DHP;
Elman neural network;
approximate dynamic programming;
clarifying process;
dual heuristic programming;
dynamic nonlinear system;
neural network approximation;
neutralized pH value;
real-time process control;
sugar cane juice;
time-delay;
Elman neural network time-delay;
approximate dynamic programming (ADP);
dual heuristic programming (DHP);
73.
Neural learning of Kalman filtering, Kalman control, and system identification
机译:
卡尔曼滤波,卡尔曼控制和系统辨识的神经学习
作者:
Linsker, R.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Kalman filters;
identification;
neurophysiology;
recurrent neural nets;
Kalman control;
Kalman filtering;
cerebral cortex;
multilayer recurrent neural network;
neural learning;
system identification;
74.
Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control
机译:
基于自适应神经网络的动态表面控制的大型互连系统分散控制
作者:
Mehraeen, S.
;
Jagannathan, S.
;
Crow, M.L.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Lyapunov methods;
adaptive control;
asymptotic stability;
decentralised control;
neural nets;
nonlinear control systems;
Lyapunov stability;
adaptive neural network;
backstepping approach;
closed-loop signals;
decentralized control;
dynamic surface control;
explosion of complexity;
large scale interconnected nonlinear systems;
nonlinear decentralized system;
Neural Networks;
Nonlinear Adaptive Control;
75.
Semi-supervised clustering using similarity neural networks
机译:
使用相似神经网络的半监督聚类
作者:
Melacci, S.
;
Maggini, M.
;
Sarti, L.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
neural nets;
pattern clustering;
K-means clustering;
binary supervision;
semisupervised clustering;
similarity neural networks;
76.
Using the GTSOM network for mobile robot navigation with reinforcement learning
机译:
将GTSOM网络用于具有增强学习功能的移动机器人导航
作者:
Menegaz, M.
;
Engel, P.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
intelligent robots;
learning (artificial intelligence);
mobile robots;
navigation;
pattern clustering;
self-organising feature maps;
Q-learning algorithm;
autonomous robotic agent;
clustering level;
grid map;
growing selforganizing neural network;
growing temporal selforganizing map network;
mobile robot navigation;
multilevel architecture;
reinforcement learning;
sensor space;
state representation;
77.
Adaptive modulation in an OFDM communications system with artificial neural networks
机译:
具有人工神经网络的OFDM通信系统中的自适应调制
作者:
Kassab, J.
;
Nagaraj, S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
OFDM modulation;
adaptive modulation;
error statistics;
fading channels;
learning (artificial intelligence);
neural nets;
OFDM communication system;
adaptive modulation technique;
artificial neural network;
fading channel;
symbol error probability;
78.
Global uniform stability analysis of biological networks with different time-scales under perturbations
机译:
扰动下不同时间尺度生物网络的全局统一稳定性分析
作者:
Meyer-Baese, A.
;
Cappendijk, S.
;
Althaus, E.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Lyapunov methods;
biology;
nonlinear systems;
perturbation techniques;
stability;
Lyapunov function;
biological networks;
coupled system;
exponentially stable equilibria;
fast time scale;
gene regulatory network;
global uniform stability analysis;
maximal upper bound;
neural network;
nonlinear idealized system;
nonlinear perturbation;
parameter perturbation;
perturbed biological system;
stability condition;
stability results;
time-scale subsystem;
79.
Cellular neural network with dynamic template and its output characteristics
机译:
具有动态模板的细胞神经网络及其输出特性
作者:
Kawahara, M.
;
Inoue, T.
;
Nishio, Y.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cellular neural nets;
learning (artificial intelligence);
cellular neural network;
image processing;
learning method;
80.
A dynamical connectionist model of idea generation
机译:
动态的想法产生的连接主义模型
作者:
Minai, A.A.
;
Iyer, L.R.
;
Padur, D.
;
Doboli, S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
brain;
cognitive systems;
multi-agent systems;
neurophysiology;
attentional selection;
basal ganglia;
brainstorming context;
cognitive diversity;
computational model;
context-specific itinerant search;
creative thinking context;
dopaminergic reward system;
dynamical connectionist model;
frontal cortices;
idea generation;
multiagent formalism;
parietal cortice;
prefrontal cortex;
semantic representations;
temporal cortices;
81.
Detection of epileptiform activity in unresponsive patients using ANN
机译:
使用ANN检测无反应患者的癫痫样活动
作者:
Minasyan, G.R.
;
Chatten, J.B.
;
Harner, R.N.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
electroencephalography;
multilayer perceptrons;
patient monitoring;
ANN;
EEG;
EEG state vector;
ESV;
ICU;
NCSE;
artificial neural network;
brain state monitoring;
comatose patient;
electroencephalography analysis tool;
epileptic seizure activity;
epileptiform activity detection;
intensive care unit;
multilayer perceptron;
nonconvulsive status epileptics;
unresponsive patient;
82.
Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG
机译:
利用大脑和周围信号的情绪识别系统:利用相关维度改善脑电图的结果
作者:
Khalili, Z.
;
Moradi, M.H.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
electroencephalography;
emotion recognition;
feature extraction;
image classification;
medical image processing;
neurophysiology;
EEG;
acquisition protocol;
blood pressure;
brain signal;
central nervous system;
correlation dimension;
electroencephalogram;
emotion recognition system;
galvanic skin resistance;
multimodal fusion;
nonlinear feature;
peripheral signal;
quadratic discriminant classifier;
valance-arousal emotional space;
Emotion;
classification;
extraction;
feature;
peripheralsignals;
83.
Constructing prediction intervals for neural network metamodels of complex systems
机译:
构造复杂系统神经网络元模型的预测区间
作者:
Khosravi, A.
;
Nahavandi, S.
;
Creighton, D.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
estimation theory;
neural nets;
probability;
stochastic processes;
complex systems;
neural network metamodels;
point estimators;
point predictors;
prediction intervals;
prediction performance;
real system performance;
stochastic system performance measures;
84.
Realizing general MLP networks with minimal FPGA resources
机译:
以最少的FPGA资源实现通用MLP网络
作者:
Latino, C.
;
Moreno-Armendariz, M.A.
;
Hagan, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
field programmable gate arrays;
multilayer perceptrons;
neural chips;
MLP network;
minimal FPGA resource;
multilayer perceptron;
network architecture;
smart position sensor system;
85.
Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining
机译:
基于前馈人工神经网络的推理系统在生物信息学数据挖掘中的应用
作者:
Leiva, M.U.
;
Arredondo, T.V.
;
Candel, D.C.
;
Dombrovskaia, L.
;
Agullo, L.C.
;
Seeger, M.P.
;
Vasquez, F.M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
biology computing;
data mining;
feedforward neural nets;
genetics;
inference mechanisms;
BLAST sequence alignment;
bioinformatics;
data-mining;
feed-forward artificial neural network;
inference system;
metabolic pathway map;
86.
A retrospective on Adaptive Dynamic Programming for control
机译:
控制自适应动态规划的回顾
作者:
Lendaris, G.G.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
control system synthesis;
decision making;
dynamic programming;
learning (artificial intelligence);
optimal control;
Bellman dynamic programming method;
adaptive dynamic programming;
computational intelligence methods;
nonlinear plants;
optimal control policy;
reinforcement learning;
sequential decision making;
87.
Design, modeling, and position control of a single-phase reluctance machine
机译:
单相磁阻电机的设计,建模和位置控制
作者:
Siyu Leng
;
Wenxin Liu
;
Il-Yop Chung
;
Cartes, D.
;
Edrington, C.S.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
design;
machine control;
neurocontrollers;
position control;
reluctance machines;
MIMO neural network;
design process;
electrical constraint;
mechanical constraint;
neural network based control scheme;
nonlinear properties;
position control system;
rotor position;
single-phase reluctance machine;
88.
Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods
机译:
基于形态特征和新颖降维方法的乳腺病变DCE-MRI数据评估和视觉探索性分析
作者:
Lespinats, S.
;
Meyer-Baese, A.
;
Steinbrucker, F.
;
Schlossbauer, T.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
biomedical MRI;
data analysis;
data visualisation;
tumours;
3D Krawtchouck moment;
DCE-MRI data;
breast lesion;
dimension reduction method;
geometric moment invariant;
global averaging moment;
imaging modality;
local shape structure;
magnetic resonance imaging;
morphological features;
nonlinear mapping method;
shape descriptor;
tumor shape visualization;
two-dimensional space;
visual exploratory data analysis;
89.
Affective computation on EEG correlates of emotion from musical and vocal stimuli
机译:
音乐和声音刺激对情感性脑电的情感计算
作者:
Khosrowabadi, R.
;
Wahab, A.
;
Kai Keng Ang
;
Baniasad, M.H.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Bayes methods;
Gaussian processes;
brain-computer interfaces;
electroencephalography;
emotion recognition;
medical signal processing;
probability;
Bayesian network;
EEG;
Gaussian mixture model;
brain-computer interface;
classification algorithm;
electroencephalogram;
kernel smoothing density estimation;
musical stimuli;
probability estimation;
vocal stimuli;
90.
A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons
机译:
具有单电子神经元噪声整形的脉冲密度调制电路
作者:
Kikombo, A.K.
;
Asai, T.
;
Oya, T.
;
Schmid, A.
;
Leblebici, Y.
;
Amemiya, Y.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Monte Carlo methods;
neural nets;
single electron devices;
Monte-Carlo based computer simulations;
bio-inspired circuit;
capacitive coupling;
device fabrication;
neuronal circuits;
noise shaping;
pulse-density modulation circuit;
single-electron devices;
single-electron neuronal units;
single-electron neurons;
91.
Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals
机译:
基于Bhattacharyya核的质心神经网络在音频信号分类中的应用。
作者:
Jae-Young Kim
;
Dong-Chul Park
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
audio signal processing;
self-organising feature maps;
signal classification;
Bhattacharyya kernel method;
Euclidean distance;
audio signal classification;
centroid neural network;
self-organizing map;
92.
Reconfigurable disruption tolerant routing via Reinforcement Learning
机译:
通过强化学习可重构的容错路由
作者:
Tae-Hyung Kim
;
Pyeatt, L.D.
;
Wunsch, D.C.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
Internet;
Markov processes;
computational complexity;
computer network reliability;
decision theory;
fault tolerance;
graph theory;
learning (artificial intelligence);
multi-agent systems;
routing protocols;
Markov decision process;
link state routing protocol;
packet delivery;
reconfigurable link disruption tolerant routing;
reinforcement learning agent;
shortest path problem;
wired network;
93.
Inference of genetic networks using linear programming machines: Application of a priori knowledge
机译:
使用线性编程机推论遗传网络:先验知识的应用
作者:
Kimura, S.
;
Shiraishi, Y.
;
Hatakeyama, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
bioinformatics;
genetics;
inference mechanisms;
learning (artificial intelligence);
linear programming;
a priori knowledge;
discrimination task;
gene expression level;
genetic network inference;
machine learning;
94.
Self-organized spiking neural network recognizing phase/frequency correlations
机译:
自组织尖峰神经网络识别相位/频率相关性
作者:
Kiselev, M.V.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
brain;
correlation methods;
medical signal processing;
neurophysiology;
frequency correlation;
homeostatic property;
inhibitory synapses;
leaky integrate-and-fire neuron;
network model;
neuron model;
neuron stabilization;
phase correlation;
pulse timing;
self-organized spiking neural network;
signal synchrony recognition;
synaptic plasticity law;
synaptic weight;
95.
An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence
机译:
截面独立情况下基于人工神经网络的异质面板单元根检验
作者:
de Peretti, C.
;
Siani, C.
;
Cerrato, M.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
exchange rates;
neural nets;
statistical testing;
time series;
ANN;
US Dollar;
artificial neural network;
bilateral real exchange rate series;
cross sectional independence;
heterogeneous panel unit root test statistics;
panel unit root test;
96.
Emotions, language, and Sapir-Whorf hypothesis
机译:
情绪,语言和Sapir-Whorf假设
作者:
Perlovsky, L.I.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cognition;
linguistics;
neural nets;
psychology;
Sapir-Whorf hypothesis;
cognitive science;
conceptual pragmatic cultures;
contemporary conceptual content;
cultural evolution;
cultural stability;
dual model connecting language;
emotional content;
hierarchical dynamics;
initial mathematical formulation;
intelligence evolution;
knowledge instinct;
language grammar;
mean-field equation;
modeling fields theory;
neural brain mechanism;
ontological development;
primordial undifferentiated animal cries;
97.
Effect of refractoriness on learning performance of a pattern sequence
机译:
耐火度对模式序列学习性能的影响
作者:
Nagatoishi, S.
;
Araki, O.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
backpropagation;
chaos;
neural nets;
pattern recognition;
Elman network;
asynchronous activity;
back-propagation algorithm;
chaotic neurons;
integrate-and-fire model neurons;
learning performance;
learning speed;
pattern sequence;
refractoriness effect;
98.
Stable-yet-switchable (SyS) attractor networks
机译:
稳定但可切换(SyS)吸引子网络
作者:
Perumal, S.
;
Minai, A.A.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
cognitive systems;
complex networks;
content-addressable storage;
recurrent neural nets;
stability;
associative memories;
bimodal connectivity;
cognitive control;
core-periphery networks;
scale-free networks;
scale-free recurrent neural networks;
sparser connectivity;
stable-yet-switchable attractor networks;
time varying cognitive phenomena;
99.
Bivariate Generalized Linear Model for Interval-Valued Variables
机译:
区间值变量的双变量广义线性模型
作者:
de A. Lima Neto, E.
;
Cordeiro, G.M.
;
de Carvalho, F.A.T.
;
dos Anjos, U.U.
;
da Costa, A.G.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
data analysis;
regression analysis;
bivariate generalized linear model;
interval-valued data sets;
interval-valued variables;
symbolic data analysis;
symbolic regression methods visualize problems;
100.
A QoS network architecture to interconnect large-scale VLSI neural networks
机译:
互连大规模VLSI神经网络的QoS网络架构
作者:
Philipp, S.
;
Schemmel, J.
;
Meier, K.
会议名称:
《International Joint Conference on Neural Networks;IJCNN 2009》
|
2009年
关键词:
VLSI;
circuit switching;
large scale integration;
neural net architecture;
packet switching;
QoS network architecture;
distributed ANN system;
isochronous connection;
large-scale VLSI neural network;
packet transfer;
AER;
VLSI neural networks;
crossbar switches;
isochronous communication;
quality of service;
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