Is there a maximum number of delays?
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Hi, May i know whether there is any maximum number of delays i can have for neuron networks time series tools?
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Greg Heath
2014 年 10 月 23 日
編集済み: Greg Heath
2014 年 10 月 23 日
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
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Greg Heath
2014 年 10 月 24 日
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Star Strider
2014 年 10 月 19 日
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.
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Star Strider
2014 年 10 月 23 日
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.
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