L1 NORMALIZATION IN NEURAL NETWORKS USING PARALLEL AUTOMATIC LEVEL CONTROL

被引：1
|
作者：
PERFETTI, R
机构：
[1] Info-Com Dpt., Universita di Roma ‘La Sapienza’, 00184 Roma
来源：
ELECTRONICS LETTERS | 1990年 / 26卷 / 02期
关键词：
Artificial intelligence; Circuit theory and design; Networks; Neural networks; Pattern recognition;
D O I：
10.1049/el:19900055
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 simple circuit that performs L1 normalisation of positivevalued parallel inputs is proposed. It can be utilised to implement ‘on-line’ normalisation of input patterns or weight vectors in neural networks based on competitive learning mechanisms. A modified scheme with high linearity is also presented. © 1990, The Institution of Electrical Engineers. All rights reserved.
引用
收藏
页码：82 / 84
页数：3
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