A new neural network for solving nonlinear programming problems

Authors:
Yun Gao;Xianyun Xu;Yongqing Yang
Affiliations:
School of Science, Jiangnan University, Wuxi, PR China;School of Science, Jiangnan University, Wuxi, PR China;School of Science, Jiangnan University, Wuxi, PR China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Year:
2011

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Abstract

In this paper a new neural network is proposed to solve nonlinear convex programming problems. The proposed neural network is shown to be asymptotically stable in the sense of Lyapunov. Comparing with the existing neural networks, the proposed neural network has fewer state variables and simpler architecture. Numerical examples show that the proposed network is feasible and efficient.