Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation

Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation

Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation methods are required to characterize the chaotic...

Full description

Bibliographic Details
Main Authors: Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan, Hanif Heidari
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Algorithms
Subjects:
time series classification
electroencephalography
entropy features
neural network entropy
Python
NNetEn
Online Access:https://www.mdpi.com/1999-4893/16/5/255

Internet

https://www.mdpi.com/1999-4893/16/5/255

Similar Items