Is it necessary to test a neural networks with data set unseen by ANN ??
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
omar belhaj
il 26 Feb 2015
Commentato: omar belhaj
il 28 Feb 2015
Purpose: A neural networks, when properly trianed must have ability to generalize and not behave just like a memory.
So, for me i used MLP( 7 inputs,1 ouputs, 1 hidden layer) type's of ANN with 13 years data set, i divided these data as following :
- 10 years data set to train my ANN
- 3 years unseen by ANN to test my model
My question is,can i delete this command 'net.divideparam.testRatio' since i used data unseen by ANN ????
net.divideParam.trainRatio = 75/100;
net.divideParam.valRatio = 15/100;
|net.divideParam.testRatio = 10/100; (I think this command is not necessary!!! can i delete it ??)
0 Commenti
Risposta accettata
Greg Heath
il 27 Feb 2015
Just put all of the data into the net.
Then choose the datadivision mode and indexing that suits the problem.
Nothing more is needed.
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Deep Learning Toolbox in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!