why NARXNET is better than other methods for multistep ahead prediction
1 view (last 30 days)
Show older comments
srikanta mohapatra
on 25 Jan 2016
Answered: Greg Heath
on 9 Feb 2016
Sir i want to know that why NARXNET is better than other methods for multistep ahead prediction. there are different prediction tools are present my question is that how we can compare NARXNTET is much better than other tools for the calculation of multi step ahead prediction. if i m wrong then plz specify which tool is generally very good for multi step ahead prediction.
0 Comments
Accepted Answer
Greg Heath
on 9 Feb 2016
The only other function used for multistep ahead prediction is NARNET which only uses output feedback as an input.
Since NARXNET uses both output feedback AND an external input, it obviously is better AS LONG AS AN EXTERNAL OUTPUT IS AVAILABLE.
HOWEVER, when an external output is available for only a limited time, it is possible to also design a NARNET from the external input. Then, multistep ahead prediction of the external input can be used to enhance the nNARXNET multistep ahead prediction of the output.
NOTE: THIS IS NOT MENTIONED IN THE MATLAB DOCUMENTATION !
Hope this helps.
Thank you for formally accepting my answer
Greg
0 Comments
More Answers (0)
See Also
Categories
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!