IMPROVED WINNER-TAKE-ALL NEURAL NETWORK

被引：19
|
作者：
YEN, JC
CHANG, S
机构：
[1] Institute of Electrical Engineering, National Tsing Hua University, Hsinchu
来源：
ELECTRONICS LETTERS | 1992年 / 28卷 / 07期
关键词：
NEURAL NETWORKS;
D O I：
10.1049/el:19920419
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 improved MAXNET is proposed to realise the winner-takes-all function. In IMAX, the strength of mutual inhibitions between each processing unit is adaptively updated. We show that IMAX will converge faster than MAXNET. This result is also confirmed by simulations.
引用
收藏
页码：662 / 664
页数：3
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