کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
413001 679708 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity
چکیده انگلیسی

This paper is concerned with the problem of robust exponential stability for a class of hybrid stochastic neural networks with mixed time-delays and Markovian jumping parameters. In this paper, free-weighting matrices are employed to express the relationship between the terms in the Leibniz–Newton formula. Based on the relationship, a linear matrix inequality (LMI) approach is developed to establish the desired sufficient conditions for the mixed time-delays neural networks with Markovian jumping parameters. Finally, two simulation examples are provided to demonstrate the effectiveness of the results developed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 13–15, August 2009, Pages 3357–3365
نویسندگان
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