trainnetwork.m

BP神经网络预测个人的收入信息

%create BP network
net=newff(minmax(normalized_train_data),[10,1],{'tansig','logsig'});
net.trainParam.show=1;
net.trainParam.epochs=20;
%train network...
net=train(net,normalized_train_data,train_target);
%simulation...
sim_result=sim(net,normalized_test_train_data);

for i=1:length(sim_result)
    if sim_result(i)<0.5
        sim_result(i)=0;
    else
        sim_result(i)=1;
   
    end
end
count=0;
for i=1:length(sim_result)
    if sim_result(i)==test_train_target(i)
        count=count+1;
    end
end
fprintf(1,'error rate:%f\n',(length(test_train_target)-count)/length(test_train_target))