Parameters of Neural Network estimation methods in Matlab
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Which method is usually used in matlab to estimate the net parameters? It is the maximum likelihood estimation or the Least Square method?
When using "trainbr" function to train the network (training with regularization) which method is used? It is true that the Least Square method can not be applied in this case because the beta and alpha parameters (alpha*sse+beta*W'W where W is the parameter vector) couldn't be found this way?
0 commentaires
Réponses (1)
Greg Heath
le 19 Fév 2015
Modifié(e) : Greg Heath
le 19 Fév 2015
Usually? The number of training algorithms is in double figures. Most likely, the one used most is FITNET for Regression and Curve-fitting. You can answer your own questions about the others as follows (Notice when to omit the ending semicolon)
>> net = fitnet;
trainFcn = net.trainFcn
performFcn = net.performFcn
help trainlm
>> net.trainFcn = 'trainbr';
performFcn = net.performFcn
Hope this helps.
Thank you for formally accepting my answer
Greg
0 commentaires
Voir également
Catégories
En savoir plus sur Define Shallow Neural Network Architectures 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!