percept2.m

奇异样本对感知器神经网络训练的影响,分三部分:创建感知器神经网络,训练该感知器神经网络,验感器神经网络

%奇异样本对感知器神经网络训练的影响
P=[-0.5 -0.5 0.3 -0.1 -30;
    -0.5 0.5 -0.5 1.0 40];
T=[1 1 0 0 1];
plotpv(P,T);
%创建感知器神经网络
net=newp([-30 1;-1 40],1);
disp('please put any key to go on');
pause
plotpv(P,T);
linehandle=plotpc(net.IW{1},net.b{1});
cla;
plotpv(P,T);
linehandle=plotpc(net.IW{1},net.b{1});
%训练该网络
E=1;
net.adaptParam.passes=1;
net=init(net);
linehandle=plotpc(net.IW{1},net.b{1});
time=0;
while(sse(E))
    time=time+1;
    [net,Y,E]=adapt(net,P,T);
    linehandle=plotpc(net.IW{1},net.b{1},linehandle);
    drawnow;
end;
disp('please put any key to go on');
pause
%检验该网络性能
p=[0.5;1.6];
a=sim(net,p);
plotpv(p,a);
ThePoint=findobj(gca,'type','line');
set(ThePoint,'Color','red');
hold on;
plotpv(P,T);
plotpc(net.IW{1},net.b{1});
hold off;
axis([-2 2 -2 2]);
disp('end of percetp2');