Abstract
AbstractThis paper is devoted to investigation of the global asymptotic stability for Bidirectional associative memory (BAM) neural networks with variable coefficient and S-type distributed signal transmission delays along the axon of a neuron. Some sufficient conditions for global asymptotic stability of the networks was obtained, in which the boundedness and differentiability of the signal functions in some papers are deleted. Some examples are also presented to show that our results are new and improve the previous results.KeywordsNeural NetworkExponential StabilityGlobal StabilityUnique EquilibriumGlobal Asymptotic StabilityThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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