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
Online Access:http://psasir.upm.edu.my/id/eprint/12500/1/A%20Na%C3%AFve.pdf
http://psasir.upm.edu.my/id/eprint/12500/
http://dx.doi.org/10.1016/j.matdes.2006.07.018
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Institution: Universiti Putra Malaysia
Language: English
English
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