کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6865743 678082 2015 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stability analysis for delayed high-order type of Hopfield neural networks with impulses
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Stability analysis for delayed high-order type of Hopfield neural networks with impulses
چکیده انگلیسی
This paper can be regarded as the continuation of the work of the authors contained in papers (2015). At the same time, it represents the extension of the papers Lou and Cui (2007, [24]), Sannay (2007, [34]) and Acka et al. (2004, [1]). This work discusses a generalized model of high-order Hopfield-type neural networks with time-varying delays. By utilizing Lyapunov functional method and the linear inequality approach, some new stability criteria for such system are derived. The results are related to the size of delays and impulses. The exponential convergence rate of the equilibrium point is also estimated. Finally, we analyze and interpret four numerical examples proving the efficiency of our theoretical results and showing that impulse can be used to stabilize and exponentially stabilize some high-order Hopfield-type neural networks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 165, 1 October 2015, Pages 312-329
نویسندگان
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