کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4637288 | 1340738 | 2006 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural network models and its application for solving linear and quadratic programming problems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Neural network models and its application for solving linear and quadratic programming problems Neural network models and its application for solving linear and quadratic programming problems](/preview/png/4637288.png)
چکیده انگلیسی
In this paper we consider two recurrent neural network model for solving linear and quadratic programming problems. The first model is derived from an unconstraint minimization reformulation of the program. The second model directly is obtained of optimality condition for an optimization problem. By applying the energy function and the duality gap, we will compare the convergence these models. We also explore the existence and the convergence of the trajectory and stability properties for the neural networks models. Finally, in some numerical examples, the effectiveness of the methods is shown.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 172, Issue 1, 1 January 2006, Pages 305–331
Journal: Applied Mathematics and Computation - Volume 172, Issue 1, 1 January 2006, Pages 305–331
نویسندگان
S. Effati, A.R. Nazemi,