Neural Network - How to use a custom training function
4 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Is it possible to replace standard matlab training methods (like Gradient Descent, Levenberg-Marquardt, etc.) by other methods of global optimization, like Particle Swarm Optimization or Simulated Annealing?
I was looking at C:\Program Files\MATLAB\R2018a\toolbox\nnet\nnet\nntrain\... for some clues, but nothing comes up...
Attached are two original files of the mentioned training functions ( traingd and trainlm ).
0 commentaires
Réponses (2)
Greg Heath
le 25 Mar 2018
Use the help and doc commands on
trainru
trainb
trainr
trainc
trains
trainbu
trainscg
traingdx
traingdm
traingd
trainbr
traingda
There may be more, my website search using "trainfcn" was very brief.
Thank you for formally accepting my answer
Greg
2 commentaires
Sumaiya Ahmad
le 10 Sep 2019
Modifié(e) : Sumaiya Ahmad
le 10 Sep 2019
I have not tried, but I think it might work,
Please try the following command:
net.trainFcn = 'custom_function_name';
where
net is your network name.
trainFcn is property to the name of the corresponding function
custom_function_name is training function defined by you
(I hope it might help you)
0 commentaires
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!