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

机译:通过在个人计算机上模拟神经网络解决非线性编程问题

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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.
机译:提出了一种寻找非线性规划问题解的方法。在这种方法中,使用电路分析程序模拟了用于解决非线性编程问题的专用电子电路(称为神经网络)。该方法的优点是可以灵活地更改组件值,并且还可以模拟代表不确定性的随机噪声。

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