Is there a maximum number of delays?

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WT
WT on 19 Oct 2014
Commented: Greg Heath on 24 Oct 2014
Hi, May i know whether there is any maximum number of delays i can have for neuron networks time series tools?

Accepted Answer

Greg Heath
Greg Heath on 23 Oct 2014
Edited: Greg Heath on 23 Oct 2014
Statistically significant nonnegative input delays can be obtained using the input/target cross-correlation function.
Statistically significant positive feedback delays can be obtained using the target autocorrelation function.
The optimal number should be a subset of those found above.
I have posted tens of examples. Search using
greg nncorr
Hope this helps
Thank you for formally accepting my answer
Greg
  2 Comments
WT
WT on 23 Oct 2014
I don't quite understand what you mean..Do you mind sending me the links of your examples?
Greg Heath
Greg Heath on 24 Oct 2014
See the white box at the top of the page that says
Search MATLAB Answers?
Type in
greg nncorr
Then click on the square button on the right.

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More Answers (1)

Star Strider
Star Strider on 19 Oct 2014
To the best of my knowledge, no, although it may be practically limited by your data set charactersitics.
Nothing in the documentation that I can find limits them.
  3 Comments
Star Strider
Star Strider on 23 Oct 2014
That likely depends on your dataset characteristics. The default is 2, but you may want more. It depends on how many of your data you want to consider. You will have to experiment to find the number that is small enough to be efficient and large enough to be accurate.
WT
WT on 23 Oct 2014
But the values of MSE keep changing so i have difficulty tracking the optimal numbers of delays. so there isn't any formula where i can estimate the value of delays?

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