example5.1.m

来自「麻省理工学院的人工智能工具箱,很珍贵,希望对大家有用!」· M 代码 · 共 54 行

load ejemplo5.1.mat %load prepared data

nL=mlp(2,4,1,'logistic');
nL=mlptrain(nL,X',Y',100);


[A,B]=meshgrid(linspace(-2,2,25),linspace(-2,2,25));
[s z a]=mlpfwd(nL,[A(:),B(:)]);
SL=reshape(s,size(A));

figure
pcolor(A,B,SL)  % For the neural net
colorbar

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Plot of points and classification contours in 2D
figure
shading('interp')
[C,H]=contour(A,B,SL,[-1:0.1:2],'k-');  % For the neural net
clabel(C,H,'LabelSeparation',300);
colormap(gray)
set(gca,'DataAspectRatio',[1 1 1],...
   'FontName','Arial','FontSize',8);
hold on
plot(X(1,1:100),X(2,1:100),'ko',...
   'MarkerSize',8,...
   'MarkerEdgeColor',[0 0 0],'MarkerFaceColor',[1 1 1]);
plot(X(1,101:200),X(2,101:200),'kd',...
   'MarkerSize',8,...
   'MarkerEdgeColor',[0 0 0],'MarkerFaceColor',[0 0 0]);


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Plot of points and classification surface in 3D
figure
surf(A,B,SL,'EdgeColor',[0 0 0],'FaceColor',[1 1 1])  % For the neural net
hold on
plot3(X(1,1:100),X(2,1:100),0.1*ones(size(Y(1,1:100))),'ko',...
   'MarkerSize',6,...
   'MarkerEdgeColor',[0 0 0],'MarkerFaceColor',[1 0 0]);
plot3(X(1,101:200),X(2,101:200),1.1*ones(size(Y(1,101:200))),'kd',...
   'MarkerSize',6,...
   'MarkerEdgeColor',[0 0 0],'MarkerFaceColor',[0 0 1]);
colormap(gray)

xlim([-2 2])
ylim([-2 2])
zlim([-1 2])
box on
view([50 30])
axis vis3d
axis square
set(gca,'Projection','Perspective');