Increasing Attraction of Pseudo-Inverse Autoassociative Networks

被引：8
|
作者：
Dmitry O. Gorodnichy
Alexandre M. Reznik
机构：
[1] University of Alberta,Department of Computing Science
[2] IPMMS,undefined
[3] Cybernetics Center of Ukrainian Academy of Sciences,undefined
来源：
Neural Processing Letters | 1997年 / 5卷 / 2期
关键词：
attraction radius; pseudo-inverse learning rule; self-connections;
D O I：
10.1023/A:1009614025059
中图分类号：
学科分类号：
摘要：
We show how partial reduction of self-connections of the network designed with the pseudo-inverse learning rule increases the direct attraction radius of the network. Theoretical formula is obtained. Data obtained by simulation are presented.
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页码：51 / 55
页数：4
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