A new neural network for solving quadratic programming problems with equality and inequality constraints

Yongqing Yang, Jinde Cao, Xianyun Xu, Manfeng Hu and Yun Gao

Mathematics and Computers in Simulation (MATCOM), 2014, vol. 101, issue C, 103-112

Abstract: A new neural network is proposed in this paper for solving quadratic programming problems with equality and inequality constraints. Comparing with the existing neural networks for solving such problems, the proposed neural network has fewer neurons and an one-layer architecture. The proposed neural network is proven to be global convergence. Furthermore, illustrative examples are given to show the effectiveness of the proposed neural network.

Keywords: Neural network; Convergence; Stability; Quadratic programming; Positive semidefinite (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:101:y:2014:i:c:p:103-112

DOI: 10.1016/j.matcom.2014.02.006

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