Hopf Bifurcation of General Fractional Delayed TdBAM Neural Networks

被引：4
作者：
Rakshana, M. [1 ]
Balasubramaniam, P. [1 ]
机构：
[1] Gandhigram Rural Inst Deemed Univ, Dept Math, Gandhigram 624302, Tamil Nadu, India
来源：
NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 06期
关键词：
Fractional order derivative; Stability; Hopf bifurcation; Tri-diagonal BAM neural network; Leakage delay; Communication delay;
D O I：
10.1007/s11063-023-11302-4
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, a fractional model of a special structure of bidirectional associative memory (BAM) neural networks called tri-diagonal BAM neural networks (TdBAMNNs) is considered. The Hopf bifurcation analysis is made for the proposed fractional system in the presence of leakage and communication delays. The feasibility of the obtained theoretical results is verified by numerical simulations.
引用
收藏
页码：8095 / 8113
页数：19
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