کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395076 665927 2010 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global stability analysis in Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Global stability analysis in Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions
چکیده انگلیسی

In this paper, a novel class of Cohen–Grossberg neural networks with delays and inverse Hölder neuron activation functions are presented. By using the topological degree theory and linear matrix inequality (LMI) technique, the existence and uniqueness of equilibrium point for such Cohen–Grossberg neural networks is investigated. By constructing appropriate Lyapunov function, a sufficient condition which ensures the global exponential stability of the equilibrium point is established. Two numerical examples are provided to demonstrate the effectiveness of the theoretical results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 180, Issue 20, 15 October 2010, Pages 4022–4030
نویسندگان
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