کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
838771 | 908368 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Existence and stability of almost periodic solution for Cohen–Grossberg neural networks with variable coefficients
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Existence and stability of almost periodic solution for Cohen–Grossberg neural networks with variable coefficients Existence and stability of almost periodic solution for Cohen–Grossberg neural networks with variable coefficients](/preview/png/838771.png)
چکیده انگلیسی
This paper is devoted to the existence and globally exponential stability of almost periodic solution for a class of Cohen–Grossberg neural networks with variable coefficients. By using Banach fixed point theorem and applying inequality technique, we give some sufficient conditions ensuring the existence and globally exponential stability of almost periodic solution. These results have important leading significance in designs and applications of Cohen–Grossberg neural networks. Finally, two examples with their numerical simulations are provided to show the correctness of our analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nonlinear Analysis: Real World Applications - Volume 9, Issue 2, April 2008, Pages 663–673
Journal: Nonlinear Analysis: Real World Applications - Volume 9, Issue 2, April 2008, Pages 663–673
نویسندگان
Hongyong Zhao, Ling Chen, Zisen Mao,