【摘要】 神经网络的应用已经涉及到众多领域。利用神经网络解决问题和设计的时候,必然涉及到网络训练过程。BP算法是人工神经网络的传统常用训练算法。遗传算法是一种新型的、随机性的、全局性的优化方法。本文基于M ATLAB对比这两种训练方法的异同和优缺点,从而达到神经网络的最优化训练,充分发挥神经网络的作用。更多还原

【Abstract】 Artificial Neural Network has been applied in many fields.The network training is an essential process in applications of Neural Network.BP algorithm is one of common training algorithms of Artificial Neural Network.Genetic algorithm is a new,random and global optimization method.In this paper BP algorithm and genetic algorithm are compared to find out their advantages and disadvantages in optimization training of Artificial Neural Network.更多还原