VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics

In this letter, neural networks (NNs) classify alcoholics and nonalcoholics using features extracted from visual evoked potential (VEP). A genetic algorithm (GA) is used to select the minimum number of channels that maximize classification performance. GA population fitness is evaluated using fuzzy...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2002-03, Vol.13 (2), p.486-491
Hauptverfasser:	Palaniappan, R., Raveendran, P., Omatu, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Alcoholic beverages Alcoholism Biological neural networks Channels Classification Digital filters Electrodes Electroencephalography Fuzzy logic Genetic algorithms Humans Multilayer perceptrons Neural networks On-line systems Optimization Training
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!