A new neural network model for solving fractional programming

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

کلیدواژه ها:

Second-order cone programming ، Fractional programming ، neural network models ، stability ، convergence