MATLAB Answers

how to decrease the error autocorrelation of a neural network

30 views (last 30 days)
Hi all, I'm building neural networks, whose task is the prediction of time series of reactive power knowing the active power.
For the pre-processing of the data I carried out the statistical normalization of the data.
The problem is that in outputs the autocorrelation of the error is always outside the confidence limits. How can I reduce it? do i have to treat the incoming data differently? Someone help me please.

  0 Comments

Sign in to comment.

Accepted Answer

Aditya Patil
Aditya Patil on 21 Dec 2020
As per my understanding, you want to reduce the autocorrelation of a signal.
Decorrelation algorithms depend on the nature of the data. For example, if the signal follows a sine wave, it might not be sensible to change the nature of the signal to reduce autocorrelation.
Currently, there are no decorrelation algorithm implementations available for power, however, you should be able to implement any algorithm using Simulink/MATLAB.

  0 Comments

Sign in to comment.

More Answers (0)

Community Treasure Hunt

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

Start Hunting!

Translated by