Novel Global Asymptotic Stability and Dissipativity Criteria of BAM Neural Networks With Delays

In this article, issues of both stability and dissipativity for a type bidirectional associative memory (BAM) neural systems with time delays are investigated. By using generalized Halanay inequalities constructing appropriate Lyapunov functionals, some novelty criteria obtained the asymptotic BAM delays. Also, without assuming boundedness differentiability activation functions, new sufficient conditions proving established by making use matrix theory inner product properties. The received conclusions extend improve previously known works on these problems general systems. end, numerical simulation examples made to show availability theoretical conclusions.