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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/13925/1/Affect_classification_using_genetic-optimized_ensembles_of.pdf |