Narxnet with Many timesteps to one time step
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amr alanwar
am 12 Mär. 2017
Kommentiert: Greg Heath
am 15 Mär. 2017
Hi All,
I have sensor readings with high frequency for an hour for example and I would like to predict one value out of these input measurements. How can I use narxnet to do that?
I do not want to concatenate all the inputs in one array and feed it to the network as one time step. In short how can I implement Many time steps to one value using narxnet.
consider Input is 100,000 * 3 where 100,000 is time steps and 3 is the number of sensors.
output is 10
i.e each 10,000 reading correspond to one output.
Thanks in advance
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Greg Heath
am 13 Mär. 2017
Bearbeitet: Greg Heath
am 13 Mär. 2017
1. Plot subsampled series so that you can see what range of subsampling rates makes sense.
2. Plot the autocorrelation function of the chosen subsampled series to obtain a subset of significant lags.
3. Given the chosen subsampled series and significant lags, the formidable problem is now reduced to a standard one.
Hope this helps.
Thank you for formally accepting my answer
Greg
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Greg Heath
am 15 Mär. 2017
Until now I see that Matlab does not support timesteps in the input. right?
> Yes.
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