Hopf Bifurcation of General Fractional Delayed TdBAM Neural Networks

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 d...

Full description

Saved in:
Bibliographic Details
Published in:Neural processing letters 2023-12, Vol.55 (6), p.8095-8113
Main Authors: Rakshana, M., Balasubramaniam, P.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Associative memory
Communication
Complex Systems
Computational Intelligence
Computer Science
Eigenvalues
Equilibrium
Hopf bifurcation
Investigations
Mathematical models
Neural networks
Recurrent neural networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1370-4621
1573-773X
DOI:10.1007/s11063-023-11302-4