Abstract
A method of approximation the mass of coal moving on a conveyor belt under the ultrasonic sensor that measures a height of coal pile is described in the paper. A process of defining a set of variables that affects the approximated coal mass is presented. A model of multiple regression and an algorithm of regression rules induction based on the M5 algorithm have been exploited to relate momentary values of the coal pile with the mass of moving coal.
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Antoniak, J.: Conveyor belts in underground and surface mining (in Polish). Silesian University of Technology Press, Gliwice, Poland (2007)
Breiman, L., Friedman, R.A., Olshen, R.S., Stone, C.: Classification and Regression Trees. Wadsworth, Belmont CA (1994)
Cierpisz, S., Heyduk, A.: A simulation study of coal blending control using a fuzzy logic ash monitor. Control Engineering Practice 10, 449–456 (2002)
Czogała, E., Łęski, J.: Fuzzy and Neuro-Fuzzy Systems. Studies in Fuzziness and Soft Computing, vol. 47. Physica-Verlag, Heidelberg NewYork (2000)
Gładysiewicz, L.: Conveyor belts. Theory and calculations. Wrocław (2003) (in Polish)
Quinlan, J.R.: Learning with continuous classes. In: Proc. of the International Conference on Artificial Intelligence (AI 1992), World Scientific, Singapore (1992)
Quinlan, J.R.: C4.5 Programs for Machine Learning. Morgan Kaufman Publishers, San Mateo, California (1992)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005)
Yager, R.R., Filev, D.P.: Essential of Fuzzy Modelling and Control. John Wiley & Sons, Inc., Chichester (2004)
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© 2011 Springer-Verlag Berlin Heidelberg
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Sikora, M., Michalak, M., Sikora, B. (2011). Approximation of a Coal Mass by an Ultrasonic Sensor Using Regression Rules. In: Kuznetsov, S.O., Mandal, D.P., Kundu, M.K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2011. Lecture Notes in Computer Science, vol 6744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21786-9_56
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DOI: https://doi.org/10.1007/978-3-642-21786-9_56
Publisher Name: Springer, Berlin, Heidelberg
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