کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9506639 | 1340754 | 2005 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical solutions for constrained quadratic problems using high-performance 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
![عکس صفحه اول مقاله: Numerical solutions for constrained quadratic problems using high-performance neural networks Numerical solutions for constrained quadratic problems using high-performance neural networks](/preview/png/9506639.png)
چکیده انگلیسی
Two new classes of neural networks for solving constrained quadratic programming problems are presented. The main advantage of these networks is the requirement to use economic analog multipliers for variables. The numerical simulations demonstrate that in the new neural networks not only the cost of the hardware implementation is not relatively expensive, but also accuracy of the solution is greatly good. The network dynamic behaviors are discussed. The numerical simulations are shown that, an optimal solution of the quadratic problems is an equilibrium point of the neural dynamics, and vise versa. We show that these networks find the solution of both primal and dual problems, and converge to the corresponding exact solutions globally. The proposed new neural networks models are fully stable.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 169, Issue 1, 1 October 2005, Pages 451-471
Journal: Applied Mathematics and Computation - Volume 169, Issue 1, 1 October 2005, Pages 451-471
نویسندگان
A. Malek, H.G. Oskoei,