Absolutely exponential stability of BAM neural networks with continuously distributed delays

Bidirectional associated memory (BAM) models are two-layer heteroassociative networks. This paper is devoted to the investigation of the absolute exponential stability for BAM neural networks with continuously distributed signal transmission delays along the axon of a neuron, by using fixed point method and new analysis techniques. Some novel criteria are obtained for checking the equilibrium point for BAM networks with distributed delays, in which the activation functions only need to be partially Lipschitz continuous, but not bounded or differentiable.