RBF

代码说明：

  RBF为径向基函数，RBF网络把网络看作对未知函数的逼近器。输入信号为正弦信号u(k)=0.35sin(3*pi*t)，采用时间为0.001s,网络隐层神经元个数取m=4，网络结构为输入层2-隐层4-输出1，网络的出事全职取随机值，高斯函数的初始值取Cj=[0.65,0.65]T,B=[1.35,1.35,1.35,1.35]T,网络的学习参数取a=0.07,n=0.9。(RBF is a radial basis function, and RBF network regards the network as an approximator to the unknown function. The input signal is sinusoidal signal u(k)=0.35 sin(3*pi*t), the time is 0.001s, the number of hidden layer neurons is m=4, the network structure is input layer 2-hidden layer 4-output 1, the network accident takes random value full-time, the initial value of Gauss function takes Cj=[0.65, 0.65] T, B=[1.35, 1.35] T, the learning parameters of the network take a=0.07, n=0.9.)

文件列表：

y11_2.m, 1766 , 2013-10-19
y11_1.m, 1620 , 2013-10-19