How can I determine if I need a time series or a fitting neural network?
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I have been working a little with Neural Networks but I sometimes get confused when needing to choose between a Fitting Neural Network (nftool) and a Time Series Neural Network (ntstool).
I know that Time Series NN has to do with time and sequences, but as its aim is to predict values, wouldn't it be similar to create a Fitting NN? I mean, creating a generalized Fitting NN that can be used with more inputs that the already given, so that a "predicted" result can be obtained as well.
Which is the difference between them?
Thank you very much in advance for your time and help!
0 commentaires
Réponse acceptée
Greg Heath
le 27 Oct 2016
For a timeseries function points at neighboring times are highly correlated so that the autocorrelation function is nonrandom and/or inpnut and target points at neighboring times are highly correlated so that the corresponding crosscorrelation function is nonrandom.
For a fitting function only the input and target points at the same location are necessarily correlated. Random reordering of input/target pairs should make no difference,
Hope this helps.
Thank you for formally accepting my answer
Greg
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!