STATISTICAL-ANALYSIS OF AN AUTOASSOCIATIVE MEMORY NETWORK

被引：4
|
作者：
FU, AMN
机构：
来源：
NEURAL COMPUTATION | 1994年 / 6卷 / 05期
关键词：
D O I：
10.1162/neco.1994.6.5.837
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A statistical method for analyzing the dynamic behavior of a synchronous autoassociative memory network is presented based on an extension of Amari-Maginu theory. Through computer simulations it is shown that when the memorized pattern ratio is small (r < 0.15) or large (r > 0.2), the derived theory shows good agreement.
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页码：837 / 841
页数：5
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