How to validate NARX network

2 次查看（过去 30 天）
Sara
Sara 2020-4-2
Hello,
I trained a NARX model with 5 neurons and 2 time delays. after training, I validated my model on unseen data using the following code. However, the error is very close to zero (MAE:0.07 RMSE: 0.19). I also attached the figure, showing the real data and estimated data. I think something is wrong with the code that I use for validation. Could you please help me? I think I can't use this result in my paper since it seem like a fake result.
Xtest1 = tonndata(testinput1,false,false);
Ttest1 = tonndata(testtarget1,false,false);
[xtest1,xitest1,aitest1,ttest1] = preparets(net,Xtest1,{},Ttest1);
outputtest1 = finalnet(xtest1,xitest1,aitest1);
errortest1 = gsubtract(ttest1,outputtest1);
rmse1= sqrt(mean((cell2mat(errortest1))'.^2))
MAE1= abs(mean(cell2mat(errortest1))')

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

标签

产品


版本

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by