Deep learning based classification of time series of Chen and Rössler chaotic systems over their graphic images

DOI10.1016/j.physd.2022.133306zbMath1491.68177OpenAlexW4224262250MaRDI QIDQ2140130

Süleyman Uzun, Burak Aricioğlu, Sezgin Kaçar

Publication date: 20 May 2022

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physd.2022.133306

zbMATH Keywords

classificationtime serieschaotic systemstransfer learningdeep learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Time series analysis of dynamical systems (37M10) Numerical chaos (65P20)

Uses Software

• ImageNet
• AlexNet
• ShuffleNet

Cites Work

• AlexNet
• Robustness of LSTM neural networks for multi-step forecasting of chaotic time series
• A survey on true random number generators based on chaos
• An equation for continuous chaos
• Handbook of Approximation Algorithms and Metaheuristics
• YET ANOTHER CHAOTIC ATTRACTOR