کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4636194 | 1340720 | 2006 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Existence and global exponential stability of periodic solution for discrete-time BAM neural networks
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The discrete-time analogues of bidirectional associative memory neural networks with periodic coefficients and distributed delays are formulated and studied. And by using the continuation theorem of coincidence degree theory, we derive the existence of periodic solution for the discrete-time BAM neural networks. And by constructing a appropriate Lyapunov-type sequence, we prove the global exponential stability of the periodic solution for the model. It is shown that the discrete-time analogues inherit the existence and global exponential stability of periodic solution for the continuous-time BAM neural networks. An example is given to illustrate the effectiveness of the obtained results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 182, Issue 2, 15 November 2006, Pages 1341-1354
Journal: Applied Mathematics and Computation - Volume 182, Issue 2, 15 November 2006, Pages 1341-1354
نویسندگان
Tiejun Zhou, Yirong Liu, Yuehua Liu,