An artificial neural network noise reduction method for chaotic attractors

DOI10.1080/00207160008804907zbMath0971.65116OpenAlexW2026339199MaRDI QIDQ4950620

Nejib Smaoui

Publication date: 8 May 2001

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

Full work available at URL: https://doi.org/10.1080/00207160008804907

zbMATH Keywords

Hénon mapchaotic attractorsartificial neural networkLevenberg-Marquardt methodnoise reduction

Mathematics Subject Classification ID

Attractors and repellers of smooth dynamical systems and their topological structure (37C70) Simulation of dynamical systems (37M05) Numerical chaos (65P20)

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Cites Work

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• A two-dimensional mapping with a strange attractor
• Do numerical orbits of chaotic dynamical processes represent true orbits?
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• \(\omega\)-limit sets for axiom A diffeomorphisms
• Numerical orbits of chaotic processes represent true orbits
• Properties of neural networks with applications to modelling non-linear dynamical systems
• Using chaos to shadow the quadratic map for all time

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