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

Engineering & Materials Science

• Electroencephalography 100%
• Deep learning 92%
• Reinforcement 82%
• Brain 42%
• Swarm intelligence 31%
• Long short-term memory 30%
• Sleep 27%
• Reinforcement learning 25%
• Particle swarm optimization (PSO) 21%
• Learning algorithms 21%
• Machine learning 19%