Binary particle swarm optimization for selection of features in the recognition of infants cries with asphyxia

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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...

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Bibliographic Details
Published in:	Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
Main Author:	Zabidi A.; Mansor W.; Lee Y.K.; Yassin I.M.; Sahak R.
Format:	Conference paper
Language:	English
Published:	2011
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957465888&doi=10.1109%2fCSPA.2011.5759886&partnerID=40&md5=7977016ab53dd42033119f27565b0850

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