MODIFIED BACKPROPAGATION ALGORITHM FOR FAST LEARNING IN NEURAL NETWORKS

被引：10
|
作者：
REYNERI, LM
FILIPPI, E
机构：
[1] Dipartimento di Elettronica, Politecnico di Torino, Torino, Corso Duca degli Abruzzi, 24
来源：
ELECTRONICS LETTERS | 1990年 / 26卷 / 19期
关键词：
Adaptive systems and control; Neural networks;
D O I：
10.1049/el:19901004
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A fast learning rule for artificial neural systems which is based on modifications to a back propagation algorithm described. The rule minimises the error function along direction of the gradient and backpropagates the error pattern according to a constant error energy approach. © 1990, The Institution of Electrical Engineers. All rights reserved.
引用
收藏
页码：1564 / 1566
页数：3
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