کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
838418 | 908359 | 2009 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Boundedness and global convergence of non-autonomous neural networks with variable delays
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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: Boundedness and global convergence of non-autonomous neural networks with variable delays Boundedness and global convergence of non-autonomous neural networks with variable delays](/preview/png/838418.png)
چکیده انگلیسی
This paper is concerned with the boundedness and global convergence of the solutions of a non-autonomous system with variable delays, arising from the description of the states of neurons in delayed Hopfield neural networks in a time-varying situation. By using the analysis method, inequality technique and the properties of MM-matrix, several novel sufficient conditions ensuring the boundedness and global convergence of all solutions are established. Our results are new and complement previously known results. The theoretical analysis is verified by numerical simulations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nonlinear Analysis: Real World Applications - Volume 10, Issue 4, August 2009, Pages 2195–2206
Journal: Nonlinear Analysis: Real World Applications - Volume 10, Issue 4, August 2009, Pages 2195–2206
نویسندگان
Zhaohui Yuan, Lifen Yuan, Lihong Huang, Dewen Hu,