Use cell arrays with neural networks in a regression problem.

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Manuel Valenciano 2016-6-6

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https://ww2.mathworks.cn/matlabcentral/answers/287943-use-cell-arrays-with-neural-networks-in-a-regression-problem

评论： Sean de Wolski 2016-6-8

采纳的回答： Sean de Wolski

I want to use Neural Networks to predict a numeric value using text and numerical data. Here is an example:

It's a regression problem. If I try to use the Neural fitting (nftool) app, only allows use numerical data.

A solution that I can think of is to assign numerical values to each class in the text data values , but I think it is too computationally expensive , as my dataset has a size 17000x40.

Is there any way to use neural networks in a regression problem using cell data type ?

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Answer 1

Sean de Wolski 2016-6-6

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编辑：Sean de Wolski 2016-6-6

在 MATLAB Online 中打开

dummytable.m

First, convert your cell array to a table (cell2table). Tables make working with this type of data much easier.

Then, convert the cell strings to categoricals and then dummy code them using dummyvar or my dummytable, attached.

x = table(rand(3,1),{'A';'B';'C'});
x.Var2 = categorical(x.Var2);
xdummy = dummytable(x);
Xnumeric = table2array(xdummy)

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Manuel Valenciano 2016-6-7

在 MATLAB Online 中打开

I have a problem with the categorical function. Some variables of my problem are of the following type:

I want to convert it to a categorical array but the categorical function gives me the following error:

Error using categorical (line 321)
Could not find unique values in DATA using the UNIQUE function.
Caused by:
    Error using cell/unique (line 85)
    Input A must be a cell array of strings.