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本文提出了一种针对连续状态的具有快速模拟退火特性的神经网络全局优化模型。讨论了模型的算法实现和参数选取,给出了实验例子。
In this paper, a global optimization model of neural networks with rapid simulated annealing for continuous states is proposed. The algorithm implementation and parameter selection of the model are discussed. Experimental examples are given.