用神经网络求解划分问题

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划分问题是一类常见的 NP完备的优化问题 ,本文利用推广的 Hopfield神经网络模型解决了划分问题 ,并取得了较好的效果 ,为这个问题的解决提供了一条新的途径。同时 ,也为解决其它优化问题提供了有益的启示。 The partition problem is a kind of common NP complete optimization problem. In this paper, we use the extended Hopfield neural network model to solve the partition problem, and achieved good results, which provides a new way to solve this problem. At the same time, it also provides useful enlightenment for solving other optimization problems.
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