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一种前向神经网络快速学习算法及其在系统辨识中的应用
引用本文:王正欧,林晨.一种前向神经网络快速学习算法及其在系统辨识中的应用[J].自动化学报,1997,23(6):728-735.
作者姓名:王正欧  林晨
作者单位:1.天津大学系统工程研究所,天津;
摘    要:提出一种基于最小二乘的前向神经网络快速学习算法.与现有同类算法相比,该算 法无需任何矩阵求逆,计算量小,较适于需快速学习的系统辨识和其他应用.文中推导了算 法,并给出一种更为简便的局部化算法.系统辨识的仿真实例表明了算法的优良性能.

关 键 词:前向神经网络    快速学习    系统辨识
收稿时间:1995-3-13

A Fast Learning Algorithm of Feedforward Neural Networks and its Application to System Indentification
Wang Zheng''ou,Lin Chen.A Fast Learning Algorithm of Feedforward Neural Networks and its Application to System Indentification[J].Acta Automatica Sinica,1997,23(6):728-735.
Authors:Wang Zheng'ou  Lin Chen
Affiliation:1.Institute of Systems Engineering,Tianjin University,Tianjin;Fujian Asia Bank Limited,Fuzhou
Abstract:In this paper,we propose a fast learning algorithm of feedforward networks based on the least squares.Compared with existing similar algorithms,the present algorithm does not require any matrix inversion,therefore,it has a less computational cost and can be better suited for system indentification and other areas where fast learning is required.We derive the algorithm and also give an even simpler and more convenient localized algorithm.Simulation results for system identification show the effectiveness of the algorithm.
Keywords:Feedforward neural networks  fast learning  system identification    
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