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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier
2007
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| 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 |