A Method for Solving Nonsmooth Pseudoconvex Optimization
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 200
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJMAC-12-1_002
تاریخ نمایه سازی: 27 دی 1401
Abstract:
In this paper, a two layer recurrent neural network (RNN) is shown for solving nonsmooth pseudoconvex optimization . First it is proved that the equilibrium point of the proposed neural network (NN) is equivalent to the optimal solution of the orginal optimization problem. Then, it is proved that the state of the proposed neural network is stable in the sense of Lyapunov, and convergent to an exact optimal solution of the original optimization. Finally two examples are given to illustrate the effectiveness of the proposed neural network.
Keywords:
Authors
Maryam Bala Seyed Ghasir
Department of Mathematics, Payame Noor University (PNU), P.O. Box ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
Aghileh Heydari
Department of Mathematics, Payame Noor University (PNU), P.O. Box ۱۹۳۹۵-۴۶۹۷, Tehran, Iran
Mohammad Ali Badamchizadeh
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran