Exponential stability of delayed bi-directional associative memory networks

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摘要

Some sufficient conditions are derived for the global exponential stability in delayed bi-directional associative memory (BAM) networks by constructing suitable Lyapunov functional and the inequality 2ab⩽a2+b2 technique. These conditions have an important leading significance in the design and applications of globally exponentially stable neural circuits for delayed BAM.

论文关键词:Neural network,Delay,Bi-directional associative memory (BAM),Global exponential stability,Inequality,Lyapunov functional,Neural circuits

论文评审过程:Available online 18 December 2001.

论文官网地址:https://doi.org/10.1016/S0096-3003(01)00315-0