Narxnet with Many timesteps to one time step
1 回表示 (過去 30 日間)
古いコメントを表示
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
0 件のコメント
採用された回答
Greg Heath
2017 年 3 月 13 日
編集済み: Greg Heath
2017 年 3 月 13 日
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
4 件のコメント
Greg Heath
2017 年 3 月 15 日
Until now I see that Matlab does not support timesteps in the input. right?
> Yes.
その他の回答 (0 件)
参考
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!