Stability conditions for bi-directional associative memory neural networks with delay
Dongming Zhou, Jinde Cao · 2002
Bi-directional associative memory (BAM) models are two-layer heteroassociative networks. In the paper, the global asymptotic stability is studied for continuous bi-directional associative memory neural networks with axonal signal transmission delay while the neuronal output signal function S is not differentiable and strictly monotone increasing. Several sufficient conditions guaranteeing the network's global asymptotic stability are derived, the obtained results have important leading significance in the design and application of BAM.