Global asymptotic stability of delayed bi-directional associative memory neural networks

Authors:
Jinde Cao
Affiliations:
Department of Applied Mathematics, Southeast University, Nanjing 210096, China
Venue:
Applied Mathematics and Computation
Year:
2003

Citing 4
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Abstract

In the paper, the global asymptotic stability and the existence of equilibrium are considered for continuous bi-directional associative memory (BAM) neural networks with axonal signal transmission delay by using Lyapunov method. New sufficient conditions are derived to ascertain the global asymptotic stability of BAM, and the obtained results are less restrictive than those reported in the literature.