The fast Fourier transform and its applications
The fast Fourier transform and its applications
Fast Fourier transforms for nonequispaced data
SIAM Journal on Scientific Computing
On function recovery by neural networks based on orthogonal expansions
Proceedings of the second world congress on Nonlinear analysts: part 3
International Journal of Intelligent Systems
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The calculation method for weights of orthogonal Fourier series neural networks on the grounds of multidimensional discrete Fourier transform is presented. The method proposed represents high speed of operation and outlier robustness. It allows easy reduction of network structure following its training process. The paper presents also the ways of applying the method to modelling of dynamic controlled systems. It is very easy to prepare a program which would allow to use the procedure proposed.