Complex numbers input in neural networks

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Saurabh Kulkarni
Saurabh Kulkarni 2018-6-11
评论： Priya Jose 2019-11-27
I need to extract features and train a neural network from frequency response data (magnitude and phase vs. frequency). The magnitude and phase is essentially form a complex number. I have 100 samples and each sample has 1000 magnitude and phase data points. The frequency range is the same for all data. What is the best way to feed this data to the “nntriantool. As far as I know this tool will not accept complex numbers. I cannot feed the magnitude and phase data separately, since it occurs as a pair. If the only way is to write my own neural network, how can I pass the input data as a pair OR will the neural network toolbox functions accept complex numbers as arguments Thanks in advance.

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Anton Semechko
Anton Semechko 2018-6-11
You can represent a complex number, a+i*b, as a 2-vector [a b], so use that format instead. Suppose that F is an array of complex numbers, then to you can get real and imaginary components of F as follows: [real(F) imag(F)]
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Saurabh Kulkarni
Saurabh Kulkarni 2018-6-11
Thanks again Anton. I just created an array as you suggested. Looks like the nftool app will not accept this array as an input so I will go ahead and create my own Neural Network to process this array.
Priya Jose
Priya Jose 2019-11-27
Sir how dso you create your own neural network? i also want to add complex number target for training using nnstart.(fitting app)

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