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EEG feature selection method based on maximum information coefficient and quantum particle swarm
To reduce the dimensionality of EEG features and improve classification accuracy, we propose an improved hybrid feature selection method for EEG feature selection. First, MIC is used to remove irrelevant features and redundant features to reduce the search space of the second stage. QPSO is then use...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477332/ https://www.ncbi.nlm.nih.gov/pubmed/37666919 http://dx.doi.org/10.1038/s41598-023-41682-5 |