How we can define the number of expansion of first input by using trigonometric functional link artificial neural network?
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In trigonometric functional link artificial neural network, each input sample is expanded to N sine terms, N cosine terms plus the sample itself. How we can define N ?
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Greg Heath
il 16 Gen 2016
From Fourier Series
N = T/dt
T = length of sample
dt = sampling time
Hope this helps.
Thank you for formally accepting my answer
Greg
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Greg Heath
il 25 Gen 2016
1. I AM NOT FAMLIAR WITH THE FUNCTIONAL LINK NET AND DON'T SEE THE ADVANTAGE OF ADDING THE FOURIER TERMS.
2. WHAT YOU HAVE WRITTEN ABOVE FOR Y2 AND Y3 MAKES ASOLUTELY NO SENSE TO ME. THEY ARE NOT TERMS IN THE EXPANSION OF Y1.
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