Optimization of MFCC parameters using Particle Swarm Optimization for diagnosis of infant hypothyroidism using Multi-Layer Perceptron

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Optimization of MFCC parameters using Particle Swarm Optimization for diagnosis of infant hypothyroidism using Multi-Layer Perceptron

This paper presents a new application of the Particle Swarm Optimization (PSO) algorithm to optimize Mel Frequency Cepstrum Coefficients (MFCC) parameters, in order to extract an optimal feature set for diagnosis of hypothyroidism in infants using Multi-Layer Perceptrons (MLP) neural network. MFCC f...

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Bibliographic Details
Published in:	2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Main Author:	Zabidi A.; Khuan L.Y.; Mansor W.; Yassin I.M.; Sahak R.
Format:	Conference paper
Language:	English
Published:	2010
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650816680&doi=10.1109%2fIEMBS.2010.5626712&partnerID=40&md5=b377a1c076ec1417c4a970bc2531373d

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