基于梯度法编写的RBF神经网络程序，实现对输入数据的逼近-Gradient method based on the preparation process of the RBF neural network to achieve the approximation of the input data

基于人工神经网络BP算法的误差逼近。输入一组数据，逼近目标输出数据-BP algorithm based on artificial neural network approximation errors. Enter a set of data, close to the target output data

神经网络bp算法逼近函数仿真，给出了一组数据的逼近结果-Bp neural network algorithm for approximating function simulation, given a set of data approximation result

自己整理网上的遗传算法改进的神经网络，matlab实现，主要应用于数据函数逼近拟合，网上的一般无法运行。这个可以运行。(The neural network improved by the genetic algorithm on the Internet, matlab implementation, mainly applied to the data function approximation fitting, the network is generally unable to run