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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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•ளà¯: | , |
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| வடிவமà¯: | Conference or Workshop Item |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2004
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| பகà¯à®¤à®¿à®•ளà¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•லà¯: | http://eprints.utm.my/7609/ |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•ளà¯: |
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