Neural net work code

Hi, I am not expert in NNT modeling , but I am trying to train a set of data, I have two inputs and 3 outputs, for now I am using one layer with 7 neurons. The program is running but I can not understand the results and I can not see how my output is matching the original data , I tried to take the trained output to excel but I got confused as I was not sure this output corresponds to which original data

your help is appreciated

hiddenlayersize=7;

net=fitnet(hiddenlayersize);

net.divideParam.trainRatio=80/100;

net.divideParam.valRatio= 10/100;

net.divideParam.testRatio=10/100;

xn=x';

Yn=Y';

[net,tr]=train(net,xn,Yn);

Ytrain=net(xn(:,tr.trainInd));

YtrainTrue=Yn(tr.trainInd);

sqrt(mean(Ytrain-YtrainTrue).^2);

Yval=net(xn(:,tr.valInd));

YvalTrue=Yn(tr.valInd);

sqrt(mean(Yval-YvalTrue).^2);

%plot(YvalTrue,Yval,'0'); hold on

plot(YtrainTrue,Ytrain,'o',YvalTrue,Yval,'*'); hold on

plot(0:30,0:30); hold off

save net