I want to implement Multilayer perceptron for software effort estimation. Which function should I use feedforwardnet, fitnet or something else.
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
sushma khatri
le 6 Août 2019
Commenté : sushma khatri
le 12 Août 2019
My input may be continuous or categorial. but target is always a continuous no.
0 commentaires
Réponse acceptée
Maria Duarte Rosa
le 9 Août 2019
For continuous outputs both fitnet and feedforwardnet are equivalent and the natural choice.
Perhaps an easier way to get strated is using the app:
If further customization is needed then 'network' allows one to build more flexible networks:
Note: for deep learning networks a good way to get sarted is by using the Deep Network Designer app:
I hope this helps.
3 commentaires
Maria Duarte Rosa
le 12 Août 2019
Hi Sushma,
The targets for feedforwardnet are continuous. Please see here:
[x,t] = simplefit_dataset;
net = feedforwardnet(10);
net = train(net,x,t);
t are continuous.
Petternnet is for categorical targets, see here:
[x,t] = iris_dataset;
net = patternnet(10);
net = train(net,x,t);
t in this case is the 1/0 form.
Plus de réponses (1)
sushma khatri
le 12 Août 2019
2 commentaires
Maria Duarte Rosa
le 12 Août 2019
fitnet and feedforwardnet are equivalent. You can use one or the other. If 'effort' is always continuous then fitnet or feedforwardnet seems to me to be the most natural choice for your task.
nftool is the most appropriate UI for modelling continous outputs.
nprtool is for patternnet where the output is categorical.
ntstool is for modelling time-series, using narxnet and other similar networks.
Voir également
Catégories
En savoir plus sur Modeling and Prediction with NARX and Time-Delay Networks 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!