A Novel Training Algorithm of Genetic Neural Networks and Its Application to Classification

被引：0
|
作者：
Xiao Jianhua School of Mechanics
机构：
来源：
Journal of Systems Engineering and Electronics | 2001年 / 03期
关键词：
Neural networks; Multilayer perceptron; Back propagation algorithm; Genetic algorithm; Classification;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
First of all, this paper discusses the drawbacks of multilayer perceptron (MLP), which is trained by the traditional back propagation (BP) algorithm and used in a special classification problem. A new training algorithm for neural networks based on genetic algorithm and BP algorithm is developed. The difference between the new training algorithm and BP algorithm in the ability of nonlinear approaching is expressed through an example, and the application foreground is illustrated by an example.
引用
收藏
页码：76 / 84
页数：9
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