Citation
Osman Mohamed Addin, Addin and Salit, Mohd Sapuan and Othman, Mohamed and Ahmed Ali, Basheer Ahmed
(2011)
Comparison of Naïve bayes classifier with back propagation neural network classifier based on f - folds feature extraction algorithm for ball bearing fault diagnostic system.
International Journal of Physical Sciences, 6 (13).
pp. 3181-3188.
ISSN 1992-1950
Abstract
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 two classifiers have shown similar classification accuracies. The Naive bayes classifier has not shown any case of false negative or false positive classification. However, the back propagation neural network classifier has shown many cases of false positive and false negative classifications.
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Official URL or Download Paper: http://academicjournals.org/journal/IJPS/article-a...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology Faculty of Engineering Institute of Advanced Technology |
| Publisher: | Academic Journals |
| Keywords: | Diagnostic system; Engineering materials; Naive bayes classifier; Neural network classifier |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 19 Oct 2015 08:58 |
| Last Modified: | 19 Oct 2015 08:58 |
| URI: | http://psasir.upm.edu.my/id/eprint/22521 |
| Statistic Details: | View Download Statistic |
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