Data Normalization for Artificial Neural Network use
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hello!! I would like to train my neural network with two customized equations in my hidden layers one similar to logsig and the other similar to tansig. My question is how to normalize my input and target data? Between [-1 1] OR [0 1] ?
Thank a lot for your feedback!
0 commentaires
Réponses (1)
Greg Heath
le 1 Juin 2016
For regression/curve-fitting just use FITNET. Defaults will take care of those details.
Typically, you only have to worry about an effective number of hidden nodes and an effective combination of random initial weights.
Check BOTH the NEWSGROUP and ANSWERS for some of my many posts.
greg fitnet
Hope this helps.
Thank you for formally accepting my answer
Greg
0 commentaires
Voir également
Catégories
En savoir plus sur Sequence and Numeric Feature Data Workflows dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!