Affect classification using genetic-optimized ensembles of fuzzy ARTMAPs

Training neural networks in distinguishing different emotions from physiological signals frequently involves fuzzy definitions of each affective state. In addition, manual design of classification tasks often uses sub-optimum classifier parameter settings, leading to average classification performan...

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Bibliographic Details
Main Authors: Liew, W.S., Seera, M., Loo, C.K., Lim, E.
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.um.edu.my/13925/1/Affect_classification_using_genetic-optimized_ensembles_of.pdf