NOVEL LEARNING-METHOD FOR ANALOG NEURAL NETWORKS

被引：7
|
作者：
MATSUMOTO, T
KOGA, M
机构：
[1] NTT Transmission Systems Laboratories, Kanagawa-Ken, 1-2356, Take
来源：
ELECTRONICS LETTERS | 1990年 / 26卷 / 15期
关键词：
Networks and network theory;
D O I：
10.1049/el:19900735
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：
An analogue-neural-network learning method based on hardware is proposed. All the network parameters are oscillated with slightly different frequencies, and the spectra appearing in the error signal are used to change the parameters. Learning can be carried out without knowing the internal conditions of neural networks. © 1990, The Institution of Electrical Engineers. All rights reserved.
引用
收藏
页码：1136 / 1137
页数：2
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