When machine learning meets fractional-order chaotic signals: detecting dynamical variations

DOI10.1016/j.chaos.2022.111908zbMath1498.68242OpenAlexW4213265488MaRDI QIDQ2098682

Gürkan Kavuran

Publication date: 18 November 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.111908

zbMATH Keywords

classificationchaostime seriesfractional-order dynamical systemsdeep learningBiLSTM

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Time series analysis of dynamical systems (37M10) Fractional ordinary differential equations (34A08)

Related Items (1)

Dynamical analysis of nonlinear fractional order Lorenz system with a novel design of intelligent solution predictive radial base networks

Uses Software

• sysdfod
• DFOC

Cites Work

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