Recognizing EEG Data Using the Finite Mixture Normal Model and Support Vector Machine
碩士 === 國立交通大學 === 統計學研究所 === 104 === In this study, we aim to recognize Electroencephalography (EEG) data under different imaging conditions. We recorded 17 healthy persons’ EEG. The data are fitted by the finite mixture normal model, and the parameters of the mixture models are estimated by the EM...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/27116450879199018502 |