Journal
NEUROCOMPUTING
Volume 74, Issue 17, Pages 3079-3083Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2011.04.026
Keywords
Convergence; Stability; Neural network; Convex program
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Funding
- National Natural Science Foundation of China [60875036]
- Key Research Foundation of Science and Technology of the Ministry of Education of China [108067]
- Jiangnan University
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In this paper, a new neural network was presented for solving nonlinear convex programs with linear constrains. Under the condition that the objective function is convex, the proposed neural network is shown to be stable in the sense of Lyapunov and globally converges to the optimal solution of the original problem. Several numerical examples show the effectiveness of the proposed neural network. (C) 2011 Elsevier B.V. All rights reserved.
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