Global asymptotic stability of bi-directional associative memory networks with distributed delays

In this paper, several sufficient conditions are derived for the global asymptotic stability in bi-directional associative memory (BAM) networks with distributed delays by constructing suitable Lyapunov functional and the Young inequality technique. These conditions have an important leading significance in the design and applications of globally asymptotically stable neural circuits for BAM with distributed delays.

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