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/

Internet

https://ieeexplore.ieee.org/document/9740532/

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