I want to implement Multilayer perceptron for software effort estimation. Which function should I use feedforwardnet, fitnet or something else.
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My input may be continuous or categorial. but target is always a continuous no.
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Maria Duarte Rosa
2019-8-9
1 个投票
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.
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sushma khatri
2019-8-12
Maria Duarte Rosa
2019-8-12
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.
sushma khatri
2019-8-12
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sushma khatri
2019-8-12
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2 个评论
Maria Duarte Rosa
2019-8-12
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.
sushma khatri
2019-8-12
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