How to understand which variables are redundant in a neural network classification problem

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Matteo Soldini
Matteo Soldini 2020-2-20
回答： Srivardhan Gadila 2020-3-4
Hi all,
I'm working on a LSTM network and I'm trying to predict if a pump system will fail.
I have a dataset with 50 sensors, that are my input variables, and I would like to reduce the number, so I can streamline the neural net a bit.
I would like to know if there is a function that identifies similarities between the variables, so as to eliminate the redundant ones.
I don't know if a variable represents the humidity or another one represents the temperature, they are indicated only as sensors. For this reason I did normalization on the dataset.
Thanks in advance.

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Srivardhan Gadila
One way is to find correlation between the variables. Refer to corr, Correlation and correlation functions in MATLAB.

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