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

页码：1564 / 1566

页数：3

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