EQUILIBRIUM POINT BASINS OF ANALOG NEURAL NETWORKS

被引：2

作者：

CILIZ, MK

机构：

[1] Electrical Engineering Department, Boǧaziçi University, Bebek

来源：

PHYSICS LETTERS A | 1993年 / 173卷 / 01期

关键词：

D O I：

10.1016/0375-9601(93)90081-A

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this note, the basins of attraction of the stable equilibria of Hopfield type recurrent neural networks are investigated. A recursive method is utilized for the estimation procedure. It is shown that, with increasing number of iterations, larger equilibrium basin estimates are observed.

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页码：25 / 29

页数：5

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