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...
à®®à¯à®´à¯ விளகà¯à®•à®®à¯
Saved in:
| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , , |
|---|---|
| வடிவமà¯: | கடà¯à®Ÿà¯à®°à¯ˆ |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
2015
|
| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://www.sciencedirect.com/science/article/pii/S1568494614005444 http://www.sciencedirect.com/science/article/pii/S1568494614005444 http://eprints.um.edu.my/13925/1/Affect_classification_using_genetic%2Doptimized_ensembles_of.pdf |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯ இணை
கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯ இலà¯à®²à¯ˆ, இநà¯à®¤ கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯à®²à¯ˆ à®®à¯à®¤à®²à®¿à®²à¯ பதிவ௠செயà¯à®¯à¯à®™à¯à®•à®³à¯!
|