I want to implement Multilayer perceptron for software effort estimation. Which function should I use feedforwardnet, fitnet or something else.

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sushma khatri 2019-8-6

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评论： sushma khatri 2019-8-12

采纳的回答： Maria Duarte Rosa

My input may be continuous or categorial. but target is always a continuous no.

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Answer 1

Maria Duarte Rosa 2019-8-9

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For continuous outputs both fitnet and feedforwardnet are equivalent and the natural choice.

Perhaps an easier way to get strated is using the app:

https://uk.mathworks.com/help/deeplearning/gs/fit-data-with-a-neural-network.html

If further customization is needed then 'network' allows one to build more flexible networks:

https://uk.mathworks.com/help/deeplearning/ref/network.html

Note: for deep learning networks a good way to get sarted is by using the Deep Network Designer app:

https://uk.mathworks.com/help/deeplearning/gs/get-started-with-deep-network-designer.html

I hope this helps.

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Maria Duarte Rosa 2019-8-12

在 MATLAB Online 中打开

Hi Sushma,

The targets for feedforwardnet are continuous. Please see here:

https://uk.mathworks.com/help/deeplearning/ref/feedforwardnet.html

[x,t] = simplefit_dataset;
net = feedforwardnet(10);
net = train(net,x,t);

t are continuous.

Petternnet is for categorical targets, see here:

https://uk.mathworks.com/help/deeplearning/ref/patternnet.html

[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

Thank u so much.

what is the basic difference between feedforwardnet and fitnet.

Actually I want to predict software effort based on some features.

effort is always numeric but input may be continuous or categorial.

So I m confuse which tool should I use nftool , nprtool or ntstool

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Answer 2

sushma khatri 2019-8-12

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Thank u so much.

what is the basic difference between feedforwardnet and fitnet.

Actually I want to predict software effort based on some features.

effort is always numeric but input may be continuous or categorial.

So I m confuse which tool should I use nftool , nprtool or ntstool

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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

Awesome it worked

thank u so much

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I want to implement Multilayer perceptron for software effort estimation. Which function should I use feedforwardnet, fitnet or something else.

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I want to implement Multilayer perceptron for software effort estimation. Which function should I use feedforwardnet, fitnet or something else.

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