cross validation for neural network
5 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
kelvina
le 7 Fév 2014
Réponse apportée : Greg Heath
le 12 Fév 2014
i want to use cross validation method to decide the number of hidden neurons of a neural network.
i want 5 fold cross validation. and right now i am using following NN architecture:
if true
net=newff(minmax(in'),[7,3],{'tansig','purelin'},'traingdx');
net.trainParam.show = 50;
net.trainParam.lr = 0.05;
net.trainParam.mc = 0.7;
net.trainParam.epochs = 3500;
net.trainParam.goal = 1e-2;
a1 = net.b{1};
a2 = net.b{2};
w1 = net.iw{1};
w2 = net.lw{2};
end
how can i use cross validation for this. and where the errors of each fold will be stored......
0 commentaires
Réponse acceptée
Greg Heath
le 12 Fév 2014
Search the NEWSGROUP and ANSWERS using
greg crossvalidation
and
greg cross-validation
and
greg cross validation
Please post the addresses of any posts that are useful.
Hope this helps.
Thank you for formally accepting my answer
Greg
0 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Image 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!