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介绍了一种改进遗传算法的基本操作,并讨论了综合应用遗传算法及BP 算法进行神经网络的权值训练.通过实例比较和分析了这种混合算法与BP算法的 实验效果.
This paper introduces a basic operation of improved genetic algorithm, and discusses the application of genetic algorithm and BP algorithm to neural network weights training. The experimental results of this hybrid algorithm and BP algorithm are compared and analyzed by examples.