A hybrid approach involving artificial neural network and ant colony optimization for direction of arrival estimation

机译：一种涉及人工神经网络和蚁群优化的混合方法，实现到达估计方向

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper discusses the application of a multi-layer perceptron network to estimate direction of arrival (DOA) using ant colony optimization (ACO) for training. ACO simulates the foraging behavior of ant colonies which manage to find the shortest path fr

机译：本文讨论了使用蚁群优化（ACO）进行训练来估计到达的多层Perceptron网络以估算到达方向（DOA）。 ACO模拟蚂蚁殖民地的觅食行为，这些行为可以找到最短的路径fr

著录项

来源
《Canadian Conference on Electrical and Computer Engineering》|2008年||共6页
会议地点
作者
Pour H.M.; Atlasbaf Z.; Mirzaee A.; Hakkak M.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 TP3-53;
关键词
direction-of-arrival estimation; interpolation; multilayer perceptrons; nonlinear functions; optimisation; radial basis function networks; ant colony optimization; artificial neural network; complex nonlinear function; direction of arrival estimation; discrete opt;

机译：到达方向估计;插值;多层的感知;非线性函数;优化;径向基函数网络;蚁群优化;人工神经网络;复杂的非线性功能;到达方向估计;离散的估算方向;离散的估计;

相似文献

外文文献
中文文献
专利

1. Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization [J] . Dongoun Lee, Seungho Kim, Sangyong Kim Sustainability . 2016,第9期

机译：利用人工神经网络估算多羊群覆盖建筑的混合模型的开发及蚁群优化
2. A hybrid approach for feature subset selection using neural networks and ant colony optimization [J] . Rahul Karthik Sivagaminathan, Sreeram Ramakrishnan Expert systems with applications . 2007,第1期

机译：神经网络和蚁群优化的混合特征子集选择方法
3. FEATURE SELECTION USING MODIFIED ANT COLONY OPTIMIZATION APPROACH (FS-MACO) BASED FIVE LAYERED ARTIFICIAL NEURAL NETWORK FOR CROSS DOMAIN OPINION MINING [J] . DR.E.CHANDRA BLESSIE, S.GNANAPRIYA Journal of Theoretical and Applied Information Technology . 2018,第12期

机译：基于改进蚁群优化方法（FS-MACO）的五层人工神经网络进行跨域意见挖掘的特征选择
4. A hybrid approach involving artificial neural network and ant colony optimization for direction of arrival estimation [C] . Pour H.M., Atlasbaf Z., Mirzaee A., Canadian Conference on Electrical and Computer Engineering . 2008

机译：一种涉及人工神经网络和蚁群优化的混合方法，实现到达估计方向
5. A hybrid artificial neural network/genetic algorithm approach to the on-line optimization of electrical power systems. [D] . Arjona-Arguelles, Diego. 1996

机译：电力系统在线优化的混合人工神经网络/遗传算法方法。
6. Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model [O] . Mingyue Qiu, Yu Song -1

机译：使用优化的人工神经网络模型预测股票指数的走势
7. Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization [O] . Dongoun Lee, Seungho Kim, Sangyong Kim 2016

机译：基于人工神经网络和蚁群算法的多户住宅建筑垃圾估算混合模型的开发
8. Ant Colony Optimization Algorithm for Signal Coordination of Oversaturated Traffic Networks [R] . Zechman, E., Quadrifoglio, L., Putha, R. 2010

机译：超饱和交通网络信号协调的蚁群优化算法

A hybrid approach involving artificial neural network and ant colony optimization for direction of arrival estimation

摘要

著录项

相似文献

相关主题

期刊订阅