Solving nonlinear programming problems through simulations of neural networks on a personal computer

An approach for finding the solutions of nonlinear programming problems is presented. In this approach, dedicated electronic circuits, known as neural networks, for solving nonlinear programming problems are simulated with a circuit analysis program. The advantage of the approach is the flexibility in changing the component values and the fact that random noise representing uncertainty can also be simulated.<
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