Hits:

Indexed by:期刊论文

Date of Publication:2015-01-01

Journal:Journal of Applied Nonlinear Dynamics

Included Journals:Scopus

Volume:4

Issue:1

Page Number:43-52

ISSN No.:21646457

Abstract:In this paper, to solve the nonlinear convex programming problems with linear equality and bounded constraints, a new neural network model is constructed. It is proved that if the initial point lies in the linear equality region, the state of the proposed neural network is convergent to an exact optimal solution of the optimization problem. Compared with the existed neural networks, the proposed in this paper has a low model complexity and avoid estimating the penalty parameters in advance. In the end, several numerical simulations illustrate the effectiveness of the proposed neural network. ? 2015 L & H Scientific Publishing, LLC.