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Hi, I am working on a set of code implying the ANN. My end purpose is to plot a comparison graph between actual output and simulated output. However, there isn't any points displayed in my plot. What is the correct syntax?

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A=data(:,2)
R1=data(:,5)
TA=A' % Transpose the Input and Output data from column to row matrix
TR1=R1'
[NA,PS]=mapminmax(TA) %Normalize the transposed input and output data
[NR1,TS]=mapminmax(TR1)
for i=1:20;
net = feedforwardnet(i,'trainlm');
net.trainParam.show = 50;
net.trainParam.lr = 0.05;
net.trainParam.epochs = 300;
net.trainParam.goal = 1e-5;
[net,tr] = train(net,NA,NR1);
[trainInd,valInd,testInd] = dividerand(20,0.7,0.15,0.15); %Divide data randomly
Y=sim(net,NA)
TY=mapminmax('reverse',Y,TS); %Denormalize simulated data
plot(i,TR1,'red',i,TY,'blue') % Plot comparison graph of experimental output data and simulated data
title('Graph of Comparison between Experimental Output Data and Simulated Data')
xlabel('Experimental Input Data')
ylabel('Experimental Output Data and Simulated Data')
legend('Experimental Output Data','Simulated Data')
end
  1 件のコメント
Greg Heath
Greg Heath 2018 年 12 月 21 日
The dividerand statement makes no sense.
  1. It is not used for training
  2. .If it were used it would yield a random mixture of trn, val and tst data
OR am I missing something ?
Greg

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madhan ravi
madhan ravi 2018 年 12 月 18 日
編集済み: madhan ravi 2018 年 12 月 18 日
However, there isn't any points displayed in my plot. What is the correct syntax?
plot(i,TR1,'-or',i,TY,'-ob') % add 'o' as marker to view the data points
  2 件のコメント
Shay Ang
Shay Ang 2018 年 12 月 21 日
Thank you for the help. My plot is showing now, however, the points are all accumulated at the 20th x value only. How do i make the points plotted on each x value? (from 1 to 20)
madhan ravi
madhan ravi 2018 年 12 月 21 日
save every variable in each iteration and plot them outside the loop ,
P.S - I don't have neural network toolbox so I cannot test.

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