A Recurrent Neural Network for Identifying Multiple Chaotic Systems

A Recurrent Neural Network for Identifying Multiple Chaotic Systems

This paper presents a First-Order Recurrent Neural Network activated by a wavelet function, in particular a Morlet wavelet, with a fixed set of parameters and capable of identifying multiple chaotic systems. By maintaining a fixed structure for the neural network and using the same activation functi...

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Bibliographic Details
Main Authors: José Luis Echenausía-Monroy, Jonatan Pena Ramirez, Joaquín Álvarez, Raúl Rivera-Rodríguez, Luis Javier Ontañón-García, Daniel Alejandro Magallón-García
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Mathematics
Subjects:
chaos
time series
recurrent neural network
neural network
time series prediction
dynamic systems
Online Access:https://www.mdpi.com/2227-7390/12/12/1835

Internet

https://www.mdpi.com/2227-7390/12/12/1835

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