کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
6863024 1439402 2018 8 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Unified synchronization criteria in an array of coupled neural networks with hybrid impulses
ترجمه فارسی عنوان
معیار هماهنگ سازی یکپارچه در مجموعه ای از شبکه های عصبی همراه با امواج ترکیبی
کلمات کلیدی
شبکه های عصبی مرتبط هماهنگ سازی، فاصله متوسط ​​ضربه ای، میانگین نفوذ تکان دهنده، امواج ترکیبی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
This paper investigates the problem of globally exponential synchronization of coupled neural networks with hybrid impulses. Two new concepts on average impulsive interval and average impulsive gain are proposed to deal with the difficulties coming from hybrid impulses. By employing the Lyapunov method combined with some mathematical analysis, some efficient unified criteria are obtained to guarantee the globally exponential synchronization of impulsive networks. Our method and criteria are proved to be effective for impulsively coupled neural networks simultaneously with synchronizing impulses and desynchronizing impulses, and we do not need to discuss these two kinds of impulses separately. Moreover, by using our average impulsive interval method, we can obtain an interesting and valuable result for the case of average impulsive interval Ta=∞. For some sparse impulsive sequences with Ta=∞, the impulses can happen for infinite number of times, but they do not have essential influence on the synchronization property of networks. Finally, numerical examples including scale-free networks are exploited to illustrate our theoretical results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 101, May 2018, Pages 25-32
نویسندگان
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