Published November 30, 2009 | Version v1
Journal article Metadata-only

Stability and bifurcation in a simplified five-neuron BAM neural network with delays

Creators

  • 1. Department of Mathematics, Shanghai Jiao Tong University, Shanghai 200240 (China)
  • 2. School of Computer Science and Technology, Donghua University, Shanghai 200051 (China)

Description

In this paper, a simplified bidirectional associative memory (BAM) neural network with five neurons is investigated. By analysis, we obtain that Hopf bifurcation occurs when the delay passes through a certain critical value. Numerical simulations are given to support our theoretical results.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2009.03.123

Additional details

Identifiers

DOI
10.1016/j.chaos.2009.03.123;
PII
S0960-0779(09)00258-6;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
42
Journal Issue
4
Journal Page Range
p. 2357-2363
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41020663
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BIFURCATION; NERVE CELLS; NEURAL NETWORKS; SIMULATION; STABILITY; TIME DELAY
Descriptors DEC
ANIMAL CELLS; SOMATIC CELLS

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.