A Novel P300 Classification Algorithm Based on a Principal Component Analysis-Convolutional Neural Network
Aiming at enhancing the classification accuracy of P300 Electroencephalogram signals in a non-invasive brain−computer interface system, a novel P300 electroencephalogram signals classification algorithm is proposed which is based on improved convolutional neural network. In the data prepro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/4/1546 |