SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification

SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification

The most vital information about the electrical activities of the brain can be obtained with the help of Electroencephalography (EEG) signals. It is quite a powerful tool to analyze the neural activities of the brain and various neurological disorders like epilepsy, schizophrenia, sleep related diso...

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Bibliographic Details
Main Authors:	Sunil Kumar Prabhakar, Seong-Whan Lee
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Open Journal of Engineering in Medicine and Biology
Subjects:	Deep learning EEG PSO Q-learning reinforcement learning
Online Access:	https://ieeexplore.ieee.org/document/9740532/

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