Optimal input features selection of wavelet-based EEG signals using GA

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Optimal input features selection of wavelet-based EEG signals using GA

We present a method of selecting optimal input features from wavelet coefficients of electroencephalogram (EEG) signals. A combination of genetic algorithm (GA) and artificial neural network (ANN) are used to select the relevant features. In this investigation, classification accuracy and the fracti...

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Bibliographic Details
Main Authors:	Mohd. Daud, Salwani, Yunus, Jasmy
Format:	Conference or Workshop Item
Published:	2004
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/7609/

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