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 (2008)
- Volume: 18, Issue: 3, page 369-375
- ISSN: 1641-876X
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topKrzysztof 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 18.3 (2008): 369-375. <http://eudml.org/doc/207892>.
@article{KrzysztofHalawa2008,
abstract = {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.},
author = {Krzysztof Halawa},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {orthogonal neural networks; Fourier series; fast Fourier transform; approximation; nonlinear systems},
language = {eng},
number = {3},
pages = {369-375},
title = {Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform},
url = {http://eudml.org/doc/207892},
volume = {18},
year = {2008},
}
TY - JOUR
AU - Krzysztof Halawa
TI - Determining the weights of a Fourier series neural network on the basis of the multidimensional discrete Fourier transform
JO - International Journal of Applied Mathematics and Computer Science
PY - 2008
VL - 18
IS - 3
SP - 369
EP - 375
AB - 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.
LA - eng
KW - orthogonal neural networks; Fourier series; fast Fourier transform; approximation; nonlinear systems
UR - http://eudml.org/doc/207892
ER -
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