Classification of Chaotic Signals of the Recurrence Matrix Using a Convolutional Neural Network and Verification through the Lyapunov Exponent

Classification of Chaotic Signals of the Recurrence Matrix Using a Convolutional Neural Network and Verification through the Lyapunov Exponent

This study classified chaotic time series data, including smooth and nonsmooth problems in a dynamic system, using a convolutional neural network (CNN) and verified it through the Lyapunov exponent. For this, the classical nonlinear differential equation by the Lorenz model was used to analyze a smo...

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Bibliographic Details
Main Authors: Jaehyeon Nam, Jaeyoung Kang
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
convolutional neural network
Lyapunov exponent
recurrence plot
chaos
Online Access:https://www.mdpi.com/2076-3417/11/1/77

Internet

https://www.mdpi.com/2076-3417/11/1/77

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