Identification of Chaotic Dynamics in Jerky-Based Systems by Recurrent Wavelet First-Order Neural Networks with a Morlet Wavelet Activation Function

Identification of Chaotic Dynamics in Jerky-Based Systems by Recurrent Wavelet First-Order Neural Networks with a Morlet Wavelet Activation Function

Considering that chaotic systems are immersed in multiple areas of science and nature and that their dynamics are governed by a great sensitivity to the initial conditions and variations in their parameters, it is of great interest for the scientific community to have tools to characterize and repro...

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Bibliographic Details
Main Authors: Daniel Alejandro Magallón-García, Luis Javier Ontanon-Garcia, Juan Hugo García-López, Guillermo Huerta-Cuéllar, Carlos Soubervielle-Montalvo
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Axioms
Subjects:
dynamic systems
chaos theory
artificial neural network
error filter algorithm
Morlet-wavelet activation function
Online Access:https://www.mdpi.com/2075-1680/12/2/200

Internet

https://www.mdpi.com/2075-1680/12/2/200

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