Complex numbers input in neural networks
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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
2018-6-11
1 个投票
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)]
4 个评论
Saurabh Kulkarni
2018-6-11
Anton Semechko
2018-6-11
编辑：Anton Semechko
2018-6-11
Lets say Y is a N-by-1 vector of outputs you want to use to train a NN and F is the corresponding N-by-d matrix of (complex) inputs that predict Y. Just break F into in a N-by-2*d array [real(F) imag(F)], and that should work.
Saurabh Kulkarni
2018-6-11
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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