Support Vector Machine Technique for EEG Signals
نویسندگان
چکیده
منابع مشابه
uzzy support vector machine for classification of EEG signals using avelet-based features
Translationof electroencephalographic (EEG) recordings into control signals for brain–computer interface (BCI) systems needs to be based on a robust classification of the various types of information. EEG-based BCI features are often noisy and likely to contain outliers. This contribution describes the application of a fuzzy support vector machine (FSVM) with a radial basis function kernel for ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/10523-5503