Determining the Weights of A Fourier Series Neural Network on the Basis of the Multidimensional Discrete Fourier Transform

DOI10.2478/v10006-008-0033-8zbMath1177.92002OpenAlexW2016697574MaRDI QIDQ5324524

Krzysztof Halawa

Publication date: 3 August 2009

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/207892

zbMATH Keywords

nonlinear systemsfast Fourier transformapproximationorthogonal neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Numerical methods for wavelets (65T60) Applications of dynamical systems (37N99)

Cites Work

• Performance comparison between the training method and the numerical method of the orthogonal neural network in function approximation
• Fast Fourier Transforms for Nonequispaced Data
• Properties and performance of orthogonal neural network in function approximation
• On function recovery by neural networks based on orthogonal expansions
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