The Classification Method of EEG Motor Imagery Based on INFO-LSSVM

Computer Science

• Classification Method 100%
• Classification Accuracy 100%
• Artificial Neural Network 66%
• Independent Component Analysis 33%
• Butterworth Filter 33%
• Optimization Algorithm 33%
• Frequency Domain 33%
• Support Vector Machine 33%
• Support Vector Machine 33%
• Classification Algorithm 33%
• Average Accuracy 33%
• Boltzmann Machine 33%
• Convolutional Neural Network 33%
• least square support vector machine 33%
• Feature Fusion 33%
• Weighted Average 33%
• Experimental Paradigm 33%
• empirical mode decomposition 33%

Keyphrases

• EEG Motor Imagery 100%
• Motor Image 66%
• Weighted Average Algorithm 33%
• Least Square Support Vector Machine Algorithm 33%
• Electrical Interference 33%
• Improved Support Vector Machine 33%
• ANN Classifier 33%
• Space Pattern 33%
• Dense Fusion 33%
• EEG Classification 33%
• David Hilbert 33%
• Fusion Convolutional Neural Networks 33%