人工神经网络在模拟优化中的应用

AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR SIMULATION OPTIMIZATION

本文将人工神经网络中的ＢＰ网络和连续时间Ｈｏｐｆｉｅｌｄ网络应用于模拟优化，证明利用ＢＰ网络可以获得模拟系统的优化信息，而且将连续Ｈｏｐｆｉｅｌｄ网络应用于模拟优化中响应曲面法响应曲面参数的估计，获得了令人满意的结果。

In this paper,the models of BP Network and Continuous Hopfield Network of Artificial Neural Networks are used for simulation optimization. The optimization information of simulation system can be gained by using the BP Network.The Continuous Hopfield Network is used to estimate the parameters of Response-Surface in simulation optimization.The satisfactory results are obtained.