感知器实例

net1=newp([-1 1;-1 1],1);
net11=newp([-1 1;-1 1],1);
p1=[1 -1 1 -1;1 -1 -1 1];
p2=[-1 1 1 -1;-1 1 -1 1];
net1.inputweights{1}.initFcn='rands';
net11.inputweights{1}.initFcn='rands';
net1.biases{1}.initFcn='rands';
net11.biases{1}.initFcn='rands';
index=0;
while index==0
    net1=init(net1);
    iw11=net1.IW{1}
    b11=net1.b{1}
    [t11,pr1]=sim(net1,p1);
    
    net11=init(net11);
    iw12=net11.IW{1}
    b12=net11.b{1}
    [t12,pr2]=sim(net11,p2);
    
    net2=newp([0 1;0 1],1);
    net2.trainParam.epochs=10;
    net2.trainParam.show=1;
    p21=ones(size(t11));
    p21=p21.*t11;
    p22=ones(size(t12));
    p22=p22.*t12;
    p3=[p21;p22];
    t2=[1 1 0 0];
    [net2,tr2]=train(net2,p3,t2);
    epoch2=tr2.epoch;
    perf2=tr2.perf;
    iw2=net2.IW{1};
    b2=net2.b{1};
    t3=sim(net2,p3);
    save Percept02 net1 net2
    if t3==t2
        index=1;
    end
end