A NEW MODEL OF FEEDFORWARD NEURAL NETWORKS

被引：1
|
作者：
WANG, DX
TAI, JW
机构：
[1] Institute of Automation, Academia Sinica, 2728 Beijing, P.O. Box
来源：
PHYSICS LETTERS A | 1992年 / 162卷 / 01期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1016/0375-9601(92)90957-N
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A new model of multilayer neural networks based on the back-propagation algorithm is presented. The network is a modified version of the STBP model, and employs an output layer with hard threshold function neurons; the model is very efficient; the learning speed can be improved. The model has an efficient ability to approximate any practical function, and is suitable for optical implementation.
引用
收藏
页码：41 / 44
页数：4
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