کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407646 678161 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Stability of Markovian jumping recurrent neural networks with discrete and distributed time-varying delays
ترجمه فارسی عنوان
پایداری شبکه های عصبی مکرر پرش مارکوویچ با تاخیرهای متنوع گسسته و توزیع شده
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

In this paper, global stability of Markovian jumping recurrent neural networks with discrete and distributed delays (MJRNN) is considered. A novel linear matrix inequality (LMI) based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of Markovian jumping recurrent neural networks with discrete and distributed delays. By applying Lyapunov method and some inequality techniques, several sufficient conditions are obtained under which the delayed neural networks are stable. Finally, numerical examples are given to demonstrate the correctness of the theoretical results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 149, Part C, 3 February 2015, Pages 1280–1285
نویسندگان
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