net=network
net.numInputs=1;
net.numLayers=2;

net.biasConnect=[1;1];
net.inputConnect=[1;0];
net.layerConnect=[0 0;1 0];
net.targetConnect=[0 1];
net.outputConnect=[0 1];

net.inputs{1}.range=[0 1;0 1];
net.layers{1}.size=2;
net.layers{1}.transerFcn='hardlim';
net.layers{1}.initFcn='initnw';
net.layers{2}.size=1;
net.layers{2}.transerFcn='hardlim';
net.layers{2}.initFcn='initnw';

net.adapt.Fcn='trains';
net.performFcn='mse';
net.trainFcn='trainlm';
net.initFcn='initlay';

%對網絡進行初始化
net=init(net);
%設置訓練樣本P和T;
P=[0 0;0 1;1 0;1 1];
T=[0 1 1 0];
%設置網絡訓練次數(shù)500
net.trainParam.epochs=500;
net=train(net,P,T);