CLASSIFICATION OF EEG SIGNAL BY METHODS OF MACHINE LEARNING
Electroencephalogram (EEG) signal of two healthy subjects that was available from literature, was studied using the methods of machine learning, namely, decision trees (DT), multilayer perceptron (MLP), K-nearest neighbours (kNN), and support vector machines (SVM). Since the data were imbalanced, th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Association for Knowledge Promotion
2020-12-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | http://acs.pollub.pl/pdf/v16n4/5.pdf |