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2009 International Conference on Machine Learning and Applications
Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor
Miami Beach, Florida
December 13-December 15
ISBN: 978-0-7695-3926-3
In this study, an intelligent decision making system which determines the compatibility of operating parameters has been designed for the travelling wave ultrasonic motor (TWUSM). The system designed converts input parameters and operating temperature into useful data by rule-based inference mechanism and these data are evaluated in Naïve Bayes Classifier. The proposed decision making system gives effective results in the compatibility determination of operating parameters for speed stability of the TWUSM.
Index Terms:
Ultrasonic motor, Naïve Bayes Classifier, Intelligent Decision Making System
Citation:
Ilhami Colak, Ramazan Bayindir, H. Tolga Kahraman, Mehmet Yesilbudak, "Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor," icmla, pp.669-672, 2009 International Conference on Machine Learning and Applications, 2009
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