Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection

Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection

Electroencephalography (EEG) serves as a diagnostic technique for measuring brain waves and brain activity. Despite its precision in capturing brain electrical activity, certain factors like environmental influences during the test can affect the objectivity and accuracy of EEG interpretations. Chal...

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Bibliographic Details
Main Authors: Dejan Pilcevic, Milica Djuric Jovicic, Milos Antonijevic, Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Miroslav Dragovic, Petar Bisevac
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Physiology
Subjects:
RNN
EEG anomaly detection
metaheuristics optimization
time series prediction
sine cosine algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1267011/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2023.1267011/full

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