how can i bring mse near to 0 as it is very large on training data and how 5 steps ahead prediction is done with ntstool by using closeloop net
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i trained neural network with data set now i need to do 4 steps ahead prediction, for this in targets it is better to give the real dataset or the each prediction to find 4 step ahead forecasting . what should be target value ? values from real data set or previously predicted once should be given as targets.
how to improve performance on traing data ? i tried by changing number of hidden layers , neurons and delay but its not working fine
the last thing can anyone help me regarding finding the proper lagged values as delay to be used in neural net with autocorrelation kind of things
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Accepted Answer
Greg Heath
on 15 Apr 2015
Insufficient detail.
What are the input and targets?
size(input) = ?
size(target)= ?
What are the significant lags of the target autocorrelation function and input/target cross correlation function?
More Answers (2)
SAM
on 15 Apr 2015
4 Comments
cheersl cheer
on 2 Apr 2016
Hi Greg Heath,Thank you for your answer. I have some questions about time series prediction,I have read that many papers use the codes of Hinton which is used to classification to do prediction,i am confused .I don't konw how can I use the code of DBN to predicte time series,can you give me any suggestions or links about time series predictions,I am doing the siol moisture prediction. Looking forward for your reply,Thank you a lot for your patience in advance
SAM
on 16 Apr 2015
1 Comment
Greg Heath
on 17 Apr 2015
Edited: Greg Heath
on 18 Apr 2015
You will have to choose one or two of my posts and ask specific questions. Good search terms to include (not all at once)
greg nncorr sigthresh95 or thresh95
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