This paper presents a method for training a Fourier series neural network on the basis of the multidimensional discrete Fourier transform. The proposed method is characterized by low computational complexity. The article shows how the method can be used for modelling dynamic systems.
@article{bwmeta1.element.bwnjournal-article-amcv18i3p369bwm,
author = {Krzysztof Halawa},
title = {Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform},
journal = {International Journal of Applied Mathematics and Computer Science},
volume = {18},
year = {2008},
pages = {369-375},
zbl = {1177.92002},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv18i3p369bwm}
}
Krzysztof Halawa. Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform. International Journal of Applied Mathematics and Computer Science, Tome 18 (2008) pp. 369-375. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv18i3p369bwm/
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