Seminário de Análise e Equações Diferenciais

Convergence of asymptotic systems of non-autonomous Hopfield neural network models with infinite distributed delays

Sala 6.2.38, FCUL, Lisboa

Por José Oliveira (Universidade do Minho).

Abstract: In this seminar, we present some results about the global convergence of solutions of nonautonomous Hopfield neural network models with discrete time-varying delays, infinite distributed delays, and possible unbounded coefficient functions. In some situations, with these results it is possible to characterize the dynamic of a Hopfield neural network model studying the dynamic of one of its asymptotic models. Some examples are presented to compare our results with the previous one in the literature.

Reference: José Oliveira, Convergence of Asymptotic Systems of Non-autonomous Neural Network Models with Infinite Distributed Delays, Nonlinear Science 27 (2017), 1463-1486.

CMAFcIO - Centro de Matemática, Aplicações Fundamentais e Investigação Operacional

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