how to decrease the error autocorrelation of a neural network
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Giuseppe D'Amico
le 14 Déc 2020
Réponse apportée : Aditya Patil
le 21 Déc 2020
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 commentaires
Réponse acceptée
Aditya Patil
le 21 Déc 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 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Sequence and Numeric Feature Data Workflows dans Help Center et File Exchange
Produits
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!