Simplex memory neural networks

被引：2
|
作者：
Ma, JW
机构：
[1] Institute of Mathematics, Shantou University
[2] Institute of Mathematics, Shantou University, Guangdong
来源：
NEURAL NETWORKS | 1997年 / 10卷 / 01期
关键词：
content-addressable memory; associate memory; Hebbian learning rule; pattern; error correcting;
D O I：
10.1016/S0893-6080(96)00059-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The biological neural network-simplex memory neural network-is proposed to describe the mechanisms of pattern memory in the brain. A mathematical model of the simplex memory neural network is constructed to memorize any binary pattern with content-addressable memory function. Under Hebbian learning rule, the new network has some important functions in accord with the learning and memory behaviors of the brain. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码：25 / 29
页数：5
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