fenlei.m

内含用MATLAB编写的三个神经网络应用实例

load('CSHuju1.mat');
p=CC1(:,[1,3:6])';
T=[0 0 0;
1 1 1;
1 1 0;
1 0 1;
1 0 0;
0 1 1;
0 1 0;
0 0 1];
t=repmat(T,41,1)';
pp=p;
%%%%%%归一到 0 1 之间
for i=1:5
p(i,:)=(p(i,:)-min(p(i,:)))/(max(p(i,:))-min(p(i,:)));
end
AllSamNum=328;%总样本数
TrainSamNum=258;%训练样本数
TestSamNum=AllSamNum-TrainSamNum;%测试样本数
PerPos=randperm(AllSamNum);
TrainDataIn=p(:,1:TrainSamNum)
TrainDataOut=t(:,1:TrainSamNum)
TestDataIn=p(:,PerPos(:,TrainSamNum+1:TrainSamNum+TestSamNum))
TestDataOut=t(:,PerPos(:,TrainSamNum+1:TrainSamNum+TestSamNum))
MaxMin=[0 1; 0 1; 0 1; 0 1;0 1];
net=newff(MaxMin,[12,3],{'tansig','logsig'},'trainlm');
net.trainParam.epochs=1000;
%训练次数
net.trainParam.goal=0.0001;
%训练结束的目标
LP.lr=0.1;
%学习率
net.trainParam.show=20;
net=train(net,TrainDataIn,TrainDataOut);
out=sim(net,TestDataIn)