Exploring the Entropy-Based Classification of Time Series Using Visibility Graphs from Chaotic Maps

Exploring the Entropy-Based Classification of Time Series Using Visibility Graphs from Chaotic Maps

The classification of time series using machine learning (ML) analysis and entropy-based features is an urgent task for the study of nonlinear signals in the fields of finance, biology and medicine, including EEG analysis and Brain–Computer Interfacing. As several entropy measures exist, the problem...

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Bibliographic Details
Main Authors: J. Alberto Conejero, Andrei Velichko, Òscar Garibo-i-Orts, Yuriy Izotov, Viet-Thanh Pham
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
chaotic maps
NNetEn
neural network entropy
horizontal visibility graphs
fuzzy entropy
classification
Online Access:https://www.mdpi.com/2227-7390/12/7/938

Internet

https://www.mdpi.com/2227-7390/12/7/938

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