How we can define the number of expansion of first input by using trigonometric functional link artificial neural network?

3 views (last 30 days)
coqui
coqui on 15 Jan 2016
Commented: Greg Heath on 25 Jan 2016
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 ?

Accepted Answer

Greg Heath
Greg Heath on 16 Jan 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
  4 Comments
Greg Heath
Greg Heath on 25 Jan 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.

Sign in to comment.

More Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by