Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines
An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure phases (seizure-free, pre-seizure and seizure) from the electroencephalogram (EEG) captured from patients with neurological disorder symptoms. The ef...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/49985 |