Motor Imagery Recognition Based on an Optimized Probabilistic Neural Network with the Particle Swarm Optimization
Author:
Affiliation:
1. Beijing University of Technology,Faculty of Information Technology,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326447/10326467/10326560.pdf?arnumber=10326560
Reference15 articles.
1. Efficient Classification of Motor Imagery using Particle Swarm Optimization-based Neural Network for IoT Applications
2. A General Common Spatial Patterns for EEG Analysis With Applications to Vigilance Detection
3. Frequency-Optimized Local Region Common Spatial Pattern Approach for Motor Imagery Classification
4. A feature extraction and classification algorithm based on PSO-CSP-SVM for motor imagery EEG signals;bao;Journal of Central South University of Technology,2020
5. LMD Based Features for the Automatic Seizure Detection of EEG Signals Using SVM
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