基于BP神经网络的非线性函数拟合算法流程可分为BP神经网络的构建、训练、预测三步-A nonlinear function fitting method based on BP neural network process can be divided into the construction of the BP neural network, training, to predict three steps

遗传算法的基本程序，主要的步骤，举例说明怎么应用遗传算法优化BP神经网络-GA basic procedures, main steps, illustrate how the application of genetic algorithm to optimize BP neural network

通过MATLAB实现BP神经网络对不同信号的分类，依次进行网络构建、训练、分类三步。-By MATLAB BP neural network to achieve the classification of different signals, in turn network construction, training, classification of three steps.