Stability analysis of bidirectional associative memory networks with time delays

被引：74

作者：

Feng, CH ^{[1
]}

Plamondon, R ^{[1
]}

机构：

[1] Ecole Polytech, Lab Scribens, Montreal, PQ H3C 3A7, Canada

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2003年 / 14卷 / 06期

关键词：

bidirectional associative memory (BAM) networks; Liapunov functional; stability analysis; time delays;

D O I：

10.1109/TNN.2003.820829

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

By using the method of Liapunov functional, a model for bidirectional associative memory networks with time delays is studied. The asymptotic stability is global in the state space of the neuronal activations and is also independent of the delays. Our results can be applied to a variety of situations that arise both in the field of biological and artificial neural networks.

引用

页码：1560 / 1565

页数：6

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