کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4626660 1631789 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global asymptotic stability of nonautonomous Cohen–Grossberg neural network models with infinite delays
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Global asymptotic stability of nonautonomous Cohen–Grossberg neural network models with infinite delays
چکیده انگلیسی

For a general Cohen–Grossberg neural network model with potentially unbounded time-varying coefficients and infinite distributed delays, we give sufficient conditions for its global asymptotic stability. The model studied is general enough to include, as subclass, the most of famous neural network models such as Cohen–Grossberg, Hopfield, and bidirectional associative memory. Contrary to usual in the literature, in the proofs we do not use Lyapunov functionals. As illustrated, the results are applied to several concrete models studied in the literature and a comparison of results shows that our results give new global stability criteria for several neural network models and improve some earlier publications.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 265, 15 August 2015, Pages 333–346
نویسندگان
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