کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4630862 | 1340610 | 2012 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A generalized neural network for solving a class of minimax optimization problems with linear constraints
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
In this paper, a generalized neural network was proposed based on projection method and differential inclusions, which is contributed to solve a class of minimax optimization problems with linear constraints. It is proved that the solution trajectory can converge to the feasible region in the finite time when the initial point is not in the feasible region. Once the solution trajectory reaches the feasible region, it will stay therein thereafter. In addition, we investigate the global convergence and exponential convergence. Furthermore, three illustrative examples are given to show the efficiency of the proposed neural network.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 218, Issue 14, 15 March 2012, Pages 7528-7537
Journal: Applied Mathematics and Computation - Volume 218, Issue 14, 15 March 2012, Pages 7528-7537
نویسندگان
Yongqing Yang, Jinde Cao, Xianyun Xu, Jiao Liu,