使用RBF神经网络实现函数逼近，逼近的函数为y(k)=u(k)^3+y(k-1)/(1+y(k-1)^2).通过对该程序的学习及实现可以更好的了解径向基神经网络的结构及算法-RBF neural network function approximation, the approximation of the function y (k) = u (k) ^ 3+y (k-1)/(1+y (k-1) ^ 2) through the program to learn and achieve mor

建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差-The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error

matlab神经网络原理与实例精解的matlab源代码，包括matlab快速入门、单层感知器、线性神经网络、BP神经网络、径向基函数网络、自组织竞争神经网络、随机神经网络等各章节源码，是学习神经网络的有力助手，里面包含matlab库函数工具箱的应用，也有手算代码。-matlab neural network theory and examples of fine solution matlab source code, including matlab QuickStart, single se

该程序实现各个径向基网络函数的功能，并进行实例分析。-The function of the program to realize the radial basis function network, and the example analysis.