hardlim returns 0.5 and 1 !!

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Morteza 2019-3-27

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回答： Garrett Beard 2021-12-3

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I have a binarry classification problem with 0-1 classes. I used 3layered neural network with "hardlim" as the activation function of output layer and "tansig" for hidden and input layer. I am wonderfull why my predicted output contains 0.5 and 1 instead of 0-1 !!

Does MATLAB automatically normalizes data when we use it's standard function for NN? Or I should manually normalize data?

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Hugo Fournier 2020-2-24

Same problem here. Have you found a solution?

Morteza 2020-2-25

Unfortunately No. We can replace 0.5 by 0.

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Garrett Beard 2021-12-3

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'net variable'.output.processFcns = {}

By default, the neural network class applies mapminmax to the output vector. Remove the normalization and you will get [0, 1] for outputs.

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