%（一）自定義神經網絡
net=network;
%設置網絡對象結構
net.numInputs=2;
net.numlayers=3;
net.biasConnect=[1?0?1]‘;
net.inputConnect=[1?0;1?1;0?0];
net.layerConnect=[0?0?0;0?0?0;1?1?1];
net.outputConnect=[0?1?1];
net.targetConnect=[0?0?1];
%設置子對象結構屬性
net.inputs{1}.range=[0?2;0?2]
net.inputs{2}.range=[-2?2;-2?2;-2?2;-2?2;-2?2]
net.inputs{1}
net.inputs{2}
%網絡層設置
net.layers{1}.size=4;
net.layers{1}.initFcn=‘initnw‘;
net.layers{1}.transferFcn=‘tansig‘;
net.layers{2}.size=3;
net.layers{2}.initFcn=‘initnw‘;
net.layers{2}.transferFcn=‘logsig‘;
net.layers{3}.initFcn=‘initnw‘;
%網絡層
net.layers{1}
net.layers{2}
net.layers{3}
%輸出向量
net.outputs{1}
net.outputs{2}
net.outputs{3}
%目標向量
net.targets{1}
net.targets{2}
net.targets{3}
%閥值向量
net.biases{1}
net.biases{2}
net.biases{3}
%輸入權值向量
net.inputWeights{11}
net.inputWeights{12}
net.inputWeights{21}
net.inpu