Open loop Training performance and closed loop training performance are good but multi-step prediction is bad. Reason?

3 次查看(过去 30 天)
Dear All,
I am using NARNET to predict multi-step ahead values for temperature data for my laser set operation.
For standardized data (mean = 0 and Var = 1), performance values are following:
OpenloopMSEperformance = 5.451431363178139e-05
OpenloopPERFORMperformance = 5.505768944105006e-05
ClosedloopMSEperformance = 1.043409861314658e-04
ClosedloopPERFORMperformance = 1.053810133096861e-04
However, when I am predicting multi-step ahead values, for next 30 signals, results are really bad.
What can be the reason?
BR, Shashank

回答(1 个)

Greg Heath
Greg Heath 2019-3-24
You are not considering information from the autocorrelation fuction.
Hope this helps
Greg

类别

Help CenterFile Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by