Neural network model for solving semi-infinite problem

Computer Engineering and Applications(2013)

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摘要
The paper considers the semi-infinite problem with inequalities and equality constraints. By using maximal entropy method, it converts many constraints problem into single constraint nonlinear programming. Then it proposes a new neural network for solving it. It is shown to be Lyapnuov stable, and convergent to an exact solution of the problem in finite time. Illustrative examples show the feasibility and efficiency of the network.
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