Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system

This paper is intended to compare the Naïve bayes classifier for ball bearing fault diagnostic system with the back propagation neural network based on the f-folds feature extraction algorithm. The f-folds feature extraction algorithm has been used with different number of folders and clusters. The...

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Bibliographic Details

Main Authors:	Osman Mohamed Addin, Addin, Salit, Mohd Sapuan, Othman, Mohamed, Ahmed Ali, Basheer Ahmed
Format:	Article
Language:	en
Published:	Academic Journals 2011
Online Access:	http://psasir.upm.edu.my/id/eprint/22521/1/Comparison%20of%20Na%C3%AFve%20bayes%20classifier%20with%20back%20propagation%20neural%20network%20classifier%20based%20on%20f%20-%20folds%20feature%20extraction%20algorithm%20for%20ball%20bearing%20fault%20diagnostic%20system.pdf http://psasir.upm.edu.my/id/eprint/22521/ http://academicjournals.org/journal/IJPS/article-abstract/B1A1D7521872
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