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ICANN 2009;International conference on artificial neural networks

召开年：2009
召开地：Limassol(CY);Limassol(CY)
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1.Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems

机译：基于互信息的回归问题中用于特征选择的前向后搜索初始化
- 作者：Alberto Guillen;Antti Sorjamaa;Gines Rubio;Amaury Lendasse;Ignacio Rojas
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
2.Kernel Learning for Local Learning Based Clustering

机译：基于局部学习的聚类的内核学习
- 作者：Hong Zeng;Yiu-ming Cheung
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
3.Projective Nonnegative Matrix Factorization with α-Divergence

机译：具有α散度的射影非负矩阵分解
- 作者：Zhirong Yang;Erkki Oja
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
4.Active Generation of Training Examples in Meta-Regression

机译：在元回归中积极生成训练示例
- 作者：Ricardo B.C. Prudencio;Teresa B. Ludermir
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
5.A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains

机译：图形域上无监督学习的最大似然连接主义模型
- 作者：Edmondo Trentin;Leonardo Rigutini
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- density estimation;
- unsupervised relational learning;
- recursive network;
6.Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning

机译：基于自适应核学习的关联向量机局部特征选择
- 作者：Dimitris Tzikas;Aristidis Likas;Nikolaos Galatsanos
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
7.MINLIP: Efficient Learning of Transformation Models

机译：MINLIP：高效学习转换模型
- 作者：Vanya Van Belle;Kristiaan Pelckmans;Johan A.K. Suykens;Sabine Van Huffel
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- support vector machines;
- ranking models;
- ordinal regression;
8.Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data

机译：有限数据的强化学习的有效不确定性传播
- 作者：Alexander Hans;Steffen Udluft
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- reinforcement learning;
- model-based;
- uncertainty;
- bayesian modeling;
9.Optimal Training Sequences for Locally Recurrent Neural Networks

机译：局部递归神经网络的最佳训练序列
- 作者：Krzysztof Patan;Maciej Patan
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
10.Statistical Instance-Based Ensemble Pruning for Multi-class Problems

机译：针对多类问题的基于统计实例的集合修剪
- 作者：Gonzalo Martinez-Munoz;Daniel Hernandez-Lobato;Alberto Suarez
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- instance based pruning;
- ensemble learning;
- neural networks;
11.Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes

机译：基于核的回归的稳健性：迭代加权方案的比较
- 作者：Kris De Brabanter;Kristiaan Pelckmans;Jos De Brabanter;Michiel Debruyne;Johan A.K. Suykens;Mia Hubert;Bart De Moor
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- least squares support vector machines;
- robustness;
- kernel methods;
- reweighting;
12.Mixing Different Search Biases in Evolutionary Learning Algorithms

机译：在进化学习算法中混合不同的搜索偏向
- 作者：Kristina Davoian;Wolfram-M. Lippe
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- artificial neural networks;
- learning;
- evolutionary algorithms;
13.Semi-supervised Learning for Regression with Co-training by Committee

机译：委员会指导下的半监督回归学习
- 作者：Mohamed Farouk Abdel Hady;Friedhelm Schwenker;Guenther Palm
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
14.An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data

机译：人工数据排序聚类算法的元学习技术分析
- 作者：Rodrigo G.F. Soares;Teresa B. Ludermir;Francisco A.T. De Carvalho
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- meta-learning;
- clustering;
15.Probability-Based Distance Function for Distance-Based Classifiers

机译：基于距离的分类器的基于概率的距离函数
- 作者：Cezary Dendek;Jacek Mandziuk
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
16.Constrained Learning Vector Quantization or Relaxed k-Separability

机译：受约束的学习矢量量化或松弛的k可分离性
- 作者：Marek Grochowski;Wlodzislaw Duch
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
17.Minimization of Quadratic Binary Functional with Additive Connection Matrix

机译：带有加法连接矩阵的二次函数最小化
- 作者：Leonid Litinskii
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
18.Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory

机译：与许多线性感知器的相互学习：在线学习理论
- 作者：Kazuyuki Hara;Yoichi Nakayama;Seiji Miyoshi;Masato Okada
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
19.Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses

机译：带有随机突触的人工神经网络中的同步状态生成
- 作者：Karim El-Laithy;Martin Bogdan
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- neural network;
- temporal synchronization;
- stochastic synapses;
- neuronal states;
20.Coexistence of Cell Assemblies and STDP

机译：细胞装配体与STDP共存
- 作者：Florian Hauser;David Bouchain;Guenther Palm
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
21.Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control

机译：动植物的控制和自动处理及其在自动车辆控制中的应用
- 作者：Kevin Gurney;Amir Hussain;Jon Chambers;Rudwan Abdullah
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- executive control;
- habits;
- basal ganglia loops;
- fuzzy tuning;
- autonomous vehicle control;
- dual-process theory;
22.Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain

机译：听觉中脑启发的混响环境中的多声源定位
- 作者：Jindong Liu;David Perez-Gonzalez;Adrian Rees;Harry Erwin;Stefan Wermter
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- spiking neural network;
- sound localisation;
- inferior colliculus;
- reverberation;
23.A Model of Neuronal Specialization Using Hebbian Policy-Gradient with 'Slow' Noise

机译：使用“慢”噪声的Hebbian策略梯度的神经元专业化模型
- 作者：Emmanuel Dauce
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
24.How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition

机译：在存在/不存在GABA能抑制的情况下爆发如何塑造STDP曲线
- 作者：Vassilis Cutsuridis;Stuart Cobb;Bruce P. Graham
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- hippocampus;
- CA1 pyramidal neuron;
- computer model;
- STDP;
- GABA;
- LTP;
- LTD;
- calcium;
25.Optimizing Generic Neural Microcircuits through Reward Modulated STDP

机译：通过奖励调制STDP优化通用神经微电路
- 作者：Prashant Joshi;Jochen Triesch
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- reward modulated STDP;
- generic neural microcircuits;
- optimization;
26.Calcium Responses Model in Striatum Dependent on Timed Input Sources

机译：依赖于定时输入源的纹状体中钙反应模型
- 作者：Takashi Nakano;Junichiro Yoshimoto;Jeff Wickens;Kenji Doya
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
27.Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

机译：独立成分分析辅助诊断古巴脊髓型小脑共济失调2
- 作者：Rodolfo V. Garcia;Fernando Rojas;Jesus Gonzalez;Belen San Roman;Olga Valenzuela;Alberto Prieto;Luis Velazquez;Roberto Rodriguez
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- biomedical engineering;
- computer aided diagnosis;
- independent component analysis;
- ataxia;
- SCA2;
- electro-oculography;
28.Hippocampus, Amygdala and Basal Ganglia Based Navigation Control

机译：基于海马，杏仁核和基底神经节的导航控制
- 作者：Ansgar Koene;Tony J. Prescott
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- action selection;
- navigation;
- biologically inspired;
- hippocampus;
- amygdala;
- basal ganglia;
- place value association;
29.A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks

机译：动态组织的分布式神经网络的仿真和分析框架
- 作者：Vladyslav Shaposhnyk;Pierre Dutoit;Victor Contreras-Lamus;Stephen Perrig;Alessandro E.P. Villa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- spiking neural networks;
- hierarchical neural networks;
- distributed computing;
- computational neuroscience;
- bio-informatics;
30.Continuous Attractors of Lotka-Volterra Recurrent Neural Networks

机译：Lotka-Volterra递归神经网络的连续吸引子
- 作者：Haixian Zhang;Jiali Yu;Zhang Yi
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- continuous attractors;
- recurrent neural networks;
- convergence;
31.Learning Complex Population-Coded Sequences

机译：学习复杂的人口编码序列
- 作者：Kiran V. Byadarhaly;Mithun Perdoor;Suresh Vasa;Emmanuel Fernandez;Ali A. Minai
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- sequence learning;
- population coding;
- motor system;
32.Structural Analysis on STDP Neural Networks Using Complex Network Theory

机译：基于复杂网络理论的STDP神经网络结构分析
- 作者：Hideyuki Kato;Tohru Ikeguchi;Kazuyuki Aihara
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
33.Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity

机译：输入强度的时间编码是具有短期可塑性的突触的固有特征
- 作者：Marton A. Hajnal
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- short term plasticity;
- frequency adaptation;
- timing;
- time code;
- time shift;
- time lag;
- neural code;
- synapse;
34.Information Processing and Timing Mechanisms in Vision

机译：视觉中的信息处理和计时机制
- 作者：Andrea Guazzini;Pietro Lio;Andrea Passarella;Marco Conti
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
35.Review of Neuron Types in the Retina: Information Models for Neuroengineering

机译：视网膜神经元类型的审查：神经工程的信息模型。
- 作者：German D. Valderrama-Gonzalez;T.M. McGinnity;Liam Maguire;QingXiang Wu
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- retina;
- cell types;
- neuroengineering;
- computational neuroscience;
- artificial visual systems;
36.Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation

机译：脑电微状态与同时视听演示的感知
- 作者：Wichian Sittiprapaporn;Jun Soo Kwon
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- brain;
- audiovisual perception;
- cognition;
- event-related potential (ERP);
- microstate;
37.A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields

机译：通过刺激依赖的感受野的神经元信号表示模型。
- 作者：Jose R.A. Torreao;Joao L. Fernandes;Silvia M.C. Victer
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
38.Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition

机译：新型数字CNN架构用于模式识别的区域芯片消耗
- 作者：Emil Raschman;Daniela Durackova
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- CNN;
- pattern recognition;
- digital implementation of CNN networks;
39.Multifold Acceleration of Neural Network Computations Using GPU

机译：使用GPU的神经网络计算的多重加速
- 作者：Alexander Guzhva;Sergey Dolenko;Igor Persiantsev
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- GPGPU;
- neural networks;
- perceptron;
- NVIDIA CUDA;
- parallel computations;
40.Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit

机译：在多核处理器和支持Cuda的图形处理器单元上使用多流扩展卡尔曼滤波器训练递归神经网络
- 作者：Michal Cernansky
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
41.A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor

机译：多分辨率边缘滤波CMOS图像传感器的自相似架构的非减法配置
- 作者：Norihiro Takahashi;Tadashi Shibata
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- edge detection;
- hardware implementation;
- image perception;
- multiple-resolution;
- self-similitude;
42.Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System

机译：可扩展和可编程概率神经VLSI系统中的带噪声的电流模式计算
- 作者：Chih-Cheng Lu;H. Chen
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- probabilistic VLSI;
- noise;
- scalable and programmable systems;
43.Minimising Contrastive Divergence with Dynamic Current Mirrors

机译：利用动态电流镜将对立散度降至最低
- 作者：Chih-Cheng Lu;H. Chen
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- minimising contrastive divergence;
- dynamic current mirrors;
- probabilistic model;
- boltzmann machine;
- on-chip training;
44.Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis

机译：尖峰神经网络自我配置的时间模式识别分析
- 作者：Josep L. Rossello;Ivan de Paul;Vincent Canals;Antoni Morro
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- neural networks;
- spiking neural networks;
- hardware implementation of genetic algorithms;
45.Image Recognition in Analog VLSI with On-Chip Learning

机译：具有片上学习功能的模拟VLSI中的图像识别
- 作者：Gonzalo Carvajal;Waldo Valenzuela;Miguel Figueroa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
46.Behavior Modeling by Neural Networks

机译：神经网络的行为建模
- 作者：Lambert Spaanenburg;Mona Akbarniai Tehrani;Richard Kleihorst;Peter B.L. Meijer
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- behavioral modeling;
- convolutional neural network;
- collision avoidance;
- 3-tier architecture;
- sinai billiard system;
47.Statistical Parameter Identification of Analog Integrated Circuit Reverse Models

机译：模拟集成电路反向模型的统计参数识别
- 作者：Bruno Apolloni;Simone Bassis;Cristian Mesiano;Salvatore Rinaudo;Angelo Ciccazzo;Angelo Marotta
- 会议名称：《》 | 2009年
48.A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials

机译：基于输入势的代数均值的FGMOST欧氏距离计算电路
- 作者：Cosmin Radu Popa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- computational circuits;
- FGMOST;
- VLSI design;
49.FPGA Implementation of Support Vector Machines for 3D Object Identification

机译：支持向量机用于3D对象识别的FPGA实现
- 作者：Marta Ruiz-Llata;Mar Yebenes-Calvino
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- support vector machines;
- embedded systems;
- image processing;
50.Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation

机译：基于可重构MAC的分数定点表示法在人工神经网络的FPGA上并行硬件实现的体系结构
- 作者：Rodrigo Martins da Silva;Nadia Nedjah;Luiza de Macedo Mourelle
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
51.A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means

机译：自组织图和蚂蚁K均值相结合的两阶段聚类方法
- 作者：Jefferson R. Souza;Teresa B. Ludermir;Leandro M. Almeida
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- self-organizing maps;
- ant colony optimization and unsupervised learning;
52.Image Theft Detection with Self-Organising Maps

机译：自组织地图的图像盗窃检测
- 作者：Philip Prentis;Mats Sjoeberg;Markus Koskela;Jorma Laaksonen
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- image theft detection;
- image retrieval;
- self-organising maps;
- TS-SOM;
- PicSOM;
53.Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns

机译：改进的Kohonen特征图关联记忆与顺序表示模式的区域表示
- 作者：Tomonori Shirotori;Yuko Osana
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- kohonen feature map (self-organizing map);
- associative memory;
- successive learning;
- sequential analog pattern;
54.Surface Reconstruction Method Based on a Growing Self-Organizing Map

机译：基于增长的自组织图的表面重构方法
- 作者：Renata L.M.E. do Rego;Hansenclever F. Bassani;Daniel Filgueiras;Aluizio F.R. Araujo
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- surface reconstruction;
- self-organizing maps;
55.Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps

机译：Micro-SOM：基于自组织映射的线性时间多元微聚集算法
- 作者：Agusti Solanas;Arnau Gavalda;Robert Rallo
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- self-organizing maps;
- privacy;
- k-anonymity;
- microaggregation;
56.Identifying Clusters Using Growing Neural Gas: First Results

机译：使用生长的神经气体识别星团：初步结果
- 作者：Riccardo Rizzo;Alfonso Urso
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- growing neural gas;
- self organization;
- cluster identification;
57.Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning

机译：具有模块化网络SOM和模块化强化学习的分层体系结构
- 作者：Masumi Ishikawa;Kosuke Ueno
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- modular network SOM;
- modular reinforcement learning;
- hierarchical architecture;
- pursuit-evasion game;
58.Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems

机译：基于MLP，SOM和模糊系统的河流洪水混合预测系统
- 作者：Ivna Valenga;Teresa Ludermir
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- modular models;
- hybrid systems;
- self-organizing map;
- multi-layer perceptron;
- fuzzy systems;
- river flood forecasting;
59.Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model

机译：通过物理启发概率模型绘制天文光曲线的地形图
- 作者：Nikolaos Gianniotis;Peter Tino;Steve Spreckley;Somak Raychaudhury
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- topographic mapping;
- eclipsing binary stars;
60.Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series

机译：金融时间序列建模的广义自组织混合自回归模型
- 作者：Hujun Yin;He Ni
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- time series;
- mixture autoregressive model;
- self-organizing map;
61.Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations

机译：自组织地图模拟证实了自然图像和皮层表示中空间相关结构的相似性
- 作者：A. Ravishankar Rao;Guillermo Cecchi
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
62.Height Defuzzification Method on L~∞ Space

机译：L〜∞空间上的高度模糊化方法
- 作者：Takashi Mitsuishi;Yasunari Shidama
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- approximate reasoning;
- fuzzy control;
- optimization;
- functional analysis;
63.An Additive Reinforcement Learning

机译：加性强化学习
- 作者：Takeshi Mori;Shin Ishii
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- reinforcement learning;
- approximation of value function;
64.Neural Spike Suppression by Adaptive Control of an Unknown Steady State

机译：通过未知稳态的自适应控制来抑制神经峰值
- 作者：Arunas Tamasevicius;Elena Tamaseviciute;Gytis Mykolaitis;Skaidra Bumeliene;Raimundas Kirvaitis;Ruedi Stoop
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- adaptive control;
- nonlinear dynamics;
- neuron models;
65.Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields

机译：力场下内模控制与阻抗控制的组合机理
- 作者：Naoki Tomi;Manabu Gouko;Koji Ito
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- human motor control;
- internal model;
- impedance control;
- optimal control;
- arm movement;
66.Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance

机译：具有高效瞬态性能的未知非线性系统的神经网络控制
- 作者：Elias B. Kosmatopoulos;Diamantis Manolis;M. Papageorgiou
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
67.High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems

机译：高阶模糊切换神经网络：在一类不确定SISO非线性系统的跟踪控制中的应用
- 作者：Haris E. Psillakis
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
68.A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network

机译：前馈网络的连续值隐藏节点数上限指南
- 作者：Rua-Huan Tsaih;Yat-wah Wan
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- bound;
- hidden nodes;
- single-hidden layer feed-forward neural network;
- preimage;
- parity problem;
69.Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions

机译：CG和HBF ODE用于非凸函数全局最小化的比较研究
- 作者：Amit Bhaya;Fernando A. Pazos;Eugenius Kaszkurewicz
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- control liapunov functions;
- nonconvex functions;
- global minimization;
- second order ODEs;
70.On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study

机译：概念形成中的知识组织：探索性认知建模研究
- 作者：Toshihiko Matsuka;Hidehito Honda;Arieta Chouchourelou;Sachiko Kiyokawa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
71.Dynamics of Incremental Learning by VSF-Network

机译：通过VSF网络进行增量学习的动力学
- 作者：Yoshitsugu Kakemoto;Shinchi Nakasuka
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- complex system;
- chaos neural network;
- knowledge acquisition;
- nonlinear dynamics;
72.Kernel CMAC with Reduced Memory Complexity

机译：降低内存复杂度的内核CMAC
- 作者：Gabor Horvath;Kristof Gati
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- CMAC;
- kernel machines;
- smoothing regularization;
- hashcoding;
- memory complexity reduction;
73.Model Complexity of Neural Networks and Integral Transforms

机译：神经网络和积分变换的模型复杂度
- 作者：Vera Kurkova
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
74.Function Decomposition Network

机译：功能分解网络
- 作者：Yevgeniy Bodyanskiy;Sergiy Popov;Mykola Titov
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- neural networks;
- nonlinear function decomposition;
75.Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes

机译：在存储固定权重代码的相关矩阵内存中提高了存储容量
- 作者：Stephen Hobson;Jim Austin
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- associative memory;
- correlation matrix memory;
- storage capacity;
- fixed weight codes;
- pattern recognition;
76.Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma

机译：反复囚徒困境中的加标和不加标代理的多主体强化学习
- 作者：Vassilis Vassiliades;Aristodemos Cleanthous;Chris Christodoulou
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
77.Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots

机译：储层计算中的无监督学习：小型移动机器人的海马位置细胞建模
- 作者：Eric A. Antonelo;Benjamin Schrauwen
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- reservoir computing;
- slow feature analysis;
- place cells;
78.Switching Hidden Markov Models for Learning of Motion Patterns in Videos

机译：切换隐藏马尔可夫模型以学习视频中的运动模式
- 作者：Matthias Hoeffken;Daniel Oberhoff;Marina Kolesnik
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
79.Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals

机译：通过HMM / SVM嵌入的贝叶斯网络进行的多模态信念集成：在通过身体运动和大脑信号来移动PC操作中的应用
- 作者：Yasuo Matsuyama;Fumiya Matsushima;Youichi Nishida;Takashi Hatakeyama;Nimiko Ochiai;Shogo Aida
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- multimodal beliefs;
- bayesian network;
- HMM;
- committee SVM array;
- ambulating PC;
80.A Neural Network Model of Metaphor Generation with Dynamic Interaction

机译：具有动态交互作用的隐喻生成的神经网络模型
- 作者：Asuka Terai;Masanori Nakagawa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
81.Almost Random Projection Machine

机译：几乎随机的投影机
- 作者：Wlodzislaw Duch;Tomasz Maszczyk
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- neural networks;
- learning;
- random projections;
82.Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance

机译：自适应欧氏距离的优化学习矢量量化分类器
- 作者：Renata M.C.R. de Souza;Telmo de M. Silva Filho
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
83.Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method

机译：利用误差反向传播方法对模糊推理系统进行有效的参数调整
- 作者：Ivan da Silva;Rogerio Flauzino
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- fuzzy systems;
- tuning algorithm;
- error backpropagation;
84.Neuro-fuzzy Rough Classifier Ensemble

机译：神经模糊粗糙分类器集成
- 作者：Martin Korytkowski;Robert Nowicki;Rafal Scherer
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- neuro-fuzzy;
- rough sets;
- classifier ensemble;
85.Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset

机译：在KDD Cup 99数据集中结合特征选择和局部建模
- 作者：Iago Porto-Diaz;David Martinez-Rego;Amparo Alonso-Betanzos;Oscar Fontenla-Romero
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
86.An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation

机译：脉冲耦合神经网络图像分割参数自动调整方法
- 作者：Masato Yonekawa;Hiroaki Kurokawa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- PCNN;
- image segmentation;
- parameter adjustment;
87.Pattern Identification by Committee of Potts Perceptrons

机译：Potts Perceptrons委员会进行模式识别
- 作者：Vladimir Kryzhanovsky
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- identification;
- potts model;
- storage capacity;
- committee;
- perceptron;
88.Is Primal Better Than Dual

机译：原始胜于双重
- 作者：Shigeo Abe
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
89.A Fast BMU Search for Support Vector Machine

机译：支持向量机的快速BMU搜索
- 作者：Wataru Kasai;Yutaro Tobe;Osamu Hasegawa
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- kernel machine;
- online re-training;
- large data processing;
90.European Option Pricing by Using the Support Vector Regression Approach

机译：支持向量回归方法的欧式期权定价
- 作者：Panayiotis C. Andreou;Chris Charalambous;Spiros H. Martzoukos
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- option pricing;
- implied volatility;
- non-parametric methods;
- support vector regression;
91.Learning SVMs from Sloppily Labeled Data

机译：从标签模糊的数据中学习SVM
- 作者：Guillaume Stempfel;Liva Ralaivola
- 会议名称：《》 | 2009年
92.The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech

机译：GMM-SVM超向量方法从语音中识别情绪状态
- 作者：Friedhelm Schwenker;Stefan Scherer;Yasmine M. Magdi;Guenther Palm
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
93.A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems

机译：线性可分离问题的SMO算法收敛性的简单证明
- 作者：Jorge Lopez;Jose R. Dorronsoro
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
94.Spanning SVM Tree for Personalized Transductive Learning

机译：生成SVM树以进行个性化的跨语言学习
- 作者：Shaoning Pang;Tao Ban;Youki Kadobayashi;Nik Kasabov
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
95.Improving Text Classification Performance with Incremental Background Knowledge

机译：通过增量背景知识提高文本分类性能
- 作者：Catarina Silva;Bernardete Ribeiro
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
96.Empirical Study of the Universum SVM Learning for High-Dimensional Data

机译：通用SVM学习高维数据的实证研究
- 作者：Vladimir Cherkassky;Wuyang Dai
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
97.Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection

机译：支持向量机和特征选择的基于内容的图像检索的相关反馈
- 作者：Apostolos Marakakis;Nikolaos Galatsanos;Aristidis Likas;Andreas Stafylopatis
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- content-based image retrieval;
- relevance feedback;
- support vector machines;
- feature selection;
98.Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity

机译：了解递归神经网络的原理：解决模型复杂性的一种生成方法
- 作者：Alejandro Chinea
- 会议名称：《》 | 2009年
- recursive neural networks;
- structural patterns;
- machine learning;
- generative principles;
99.An EM Based Training Algorithm for Recurrent Neural Networks

机译：基于EM的递归神经网络训练算法。
- 作者：Jan Unkelbach;Sun Yi;Juergen Schmidhuber
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年
- recurrent neural networks;
- dynamical system identification;
- EM;
- particle smoother;
100.Modeling D_(st) with Recurrent EM Neural Networks

机译：用递归EM神经网络建模D_（st）
- 作者：Derrick Takeshi Mirikitani;Lahcen Ouarbya
- 会议名称：《ICANN 2009;International conference on artificial neural networks》 | 2009年