How to test RNN (layrecnet) ?

I have trained my time series data using Recurrent Neural Network (RNN)/ layrecnet function to make predictions.

Now i want to test the trained model with new(test) data.

Can anybody please confirm weather i have implemented the below code correctly?

data=HomeA';

N=50;
XTrain = data(1:end-N);
YTrain = data(1:end-N);
% 
 XTest=data(end-N+1:end);
 YTest = data(end-N+1:end);
 
 X = tonndata(XTrain,true,false);
 T = tonndata(YTrain ,true,false);
 
 X2 = tonndata(XTest,true,false);
 T2 = tonndata(YTest ,true,false);
 
%% Build Recurrent neural network
net = layrecnet(1:2,10);
[Xs,Xi,Ai,Ts] = preparets(net,X,T);
net = train(net,Xs,Ts,Xi,Ai);
%view(net)
Y = net(Xs,Xi,Ai);
perf = perform(net,Y,Ts)

%% Test the model on new data
[Xs1,Xio,Aio] = preparets(net,X,T);
[Y1,Xfo,Afo] = net(Xs1,Xio,Aio);
[netc,Xic,Aic] = closeloop(net,Xfo,Afo);
[yPred,Xfc,Afc] = netc(X2,Xic,Aic);
TestPerformance = perform(net,yPred,T2);

Answer 1

[Jash Kadu]

Hi!

Please check out the documentation for Layer recurant neural network : https://www.mathworks.com/help/deeplearning/ref/layrecnet.html.

You can also run the following command;

openExample('nnet/RefLayRecNetExample') in your MATLAB editor to test it.