کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408959 679048 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Graph-theoretic approach to exponential synchronization of stochastic reaction–diffusion Cohen–Grossberg neural networks with time-varying delays
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Graph-theoretic approach to exponential synchronization of stochastic reaction–diffusion Cohen–Grossberg neural networks with time-varying delays
چکیده انگلیسی

A stochastic reaction–diffusion Cohen–Grossberg neural network (CGNN) with time-varying delays is concerned. In the model, time delay effects, diffusion effects and the white noise are taken into account at the same time. Based on graph theory and Lyapunov method, the sufficient conditions for exponential synchronization are considered. This method is different from the traditional methods. Two different types of sufficient criteria for synchronization are presented in the form of Lyapunov functions and the coefficients of drive-response network9s, respectively. They both reveal the relationship between exponential synchronization and the topology structure of the systems. Finally, several numerical simulation figures are illustrated to show the effectiveness of the obtained results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 177, 12 February 2016, Pages 179–187
نویسندگان
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