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
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
A generalized neural network for solving a class of minimax optimization problems with linear constraints
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
نویسندگان
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