Delayed Neural Networks with Multistable Almost Periodic Solutions

被引：0

作者：

Wang, Lili ^{[1
]}

Lu, Wenlian ^{[1
]}

Chen, Tianping ^{[1
]}

机构：

[1] Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China

来源：

IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 | 2009年

关键词：

STABILITY; MULTIPERIODICITY; ATTRACTIVITY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we are concerned with the multistability of almost periodic solutions of a class of delayed neural networks. We derive conditions guaranteeing 2(n) asymptotically stable almost periodic trajectories for neural networks with n-neurons. Furthermore, we investigate the attraction basin of each almost periodic solution. Compared with the existing literature, we obtain a more general criteria for the multistability of delayed neural networks and depict the attraction basins more precisely.

引用

页码：125 / 131

页数：7

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