How to test RNN (layrecnet) ?
4 views (last 30 days)
Show older comments
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);
0 Comments
Answers (1)
Jash Kadu
on 13 Jul 2022
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.
0 Comments
See Also
Categories
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!