Binary particle swarm optimization for selection of features in the recognition of infants cries with asphyxia
The infant cry signals with asphyxia have distinct patterns which can be recognized using pattern classifiers such as Artificial Neural Network (ANN). This study investigates the effect of selecting infant cry features using the Binary Particle Swarm Optimization on the performance of Multilayer Per...
| Published in: | Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
2011
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957465888&doi=10.1109%2fCSPA.2011.5759886&partnerID=40&md5=7977016ab53dd42033119f27565b0850 |