RBF.rar_RBF matlab实现_RBF实现_rbf代码 matlab

clc; clear; close all; %???????, generate the learing data ld=400; %??????? x=rand(2,ld); %0-1 x=(x-0.5)*1.5*2; %-1.5, 1.5 x1=x(1,:); x2=x(2,:); F=20+x1.^2-10*cos(2*pi*x1)+x2.^2-10*cos(2*pi*x2); %??????? net=newrb(x,F); %generate the testing data interval=0.1; [i, j]=meshgrid(-1.5:interval:1.5); row=size(i); tx1=i(:); tx1=tx1'; tx2=j(:); tx2=tx2'; tx=[tx1;tx2]; %testing ty=sim(net,tx); v=reshape(ty,row); figure subplot(1,3,2) mesh(i,j,v); zlim([0,60]) %plot the original function interval=0.1; [x1, x2]=meshgrid(-1.5:interval:1.5); F = 20+x1.^2-10*cos(2*pi*x1)+x2.^2-10*cos(2*pi*x2); subplot(1,3,1) mesh(x1,x2,F); zlim([0,60]) %plot the error subplot(1,3,3) mesh(x1,x2,F-v); zlim([0,60])