سال انتشار: ۱۳۹۱

محل انتشار: کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی

تعداد صفحات: ۷

نویسنده(ها):

Narges Tahmasbi – Department of Mathematics, School of Mathematical Sciences, Shahrood University of Technology
Alireza Nazemi – Department of Mathematics, School of Mathematical Sciences, Shahrood University of Technology

چکیده:

This paper we presents a neural network model to solve some classes of fractional programming problems. The main idea is to convert the fractional programming probleminto an equivalent convex second order cone programming (CSOCP) problem. A neural network model is then constructed for solving the obtained CSOCP problem.The simulation results also show that the proposed neural network is feasible and efficient