A Naïve-Bayes classifier for damage detection in engineering materials

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A Naïve-Bayes classifier for damage detection in engineering materials

This paper is intended to introduce the Bayesian network in general and the Naïve-Bayes classifier in particular as one of the most successful classification systems to simulate damage detection in engineering materials. A method for feature subset selection has also been introduced too. The method...

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Bibliographic Details
Main Authors:	Addin, O., Salit, Mohd Sapuan, Mahdi Ahmad Saad, Elsadig, Othman, Mohamed
Format:	Article
Language:	English English
Published:	Elsevier 2007
Subjects:	Bayesian statistical decision theory Bayesian field theory
Online Access:	http://psasir.upm.edu.my/id/eprint/12500/ http://psasir.upm.edu.my/id/eprint/12500/1/A%20Na%C3%AFve.pdf

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