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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 1067351, 8 pages
Research Article

Modeling for the Calcination Process of Industry Rotary Kiln Using ANFIS Coupled with a Novel Hybrid Clustering Algorithm

1School of Electronics and Information Engineering, Shunde Polytechnic, Foshan 528300, China
2Technical University of Dresden, 01062 Dresden, Germany

Correspondence should be addressed to Yongchang Cai

Received 4 December 2016; Accepted 12 February 2017; Published 2 March 2017

Academic Editor: Tarek Ahmed-Ali

Copyright © 2017 Yongchang Cai. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Rotary kiln is important equipment in heavy industries and its calcination process is the key impact to the product quality. Due to the difficulty in obtaining the accurate algebraic model of the calcination process, an intelligent modeling method based on ANFIS and clustering algorithms is studied. In the model, ANFIS is employed as the core structure, and aiming to improve both its performance in reduced computation and accuracy, a novel hybrid clustering algorithm is proposed by combining FCM and Subtractive methods. A quasi-random data set is then hired to test the new hybrid clustering algorithm and results indicate its superiority to FCM and Subtractive methods. Further, a set of data from the successful control activity of sophisticated workers in manufacturing field is used to train the model, and the model demonstrates its advantages in both fast convergence and more accuracy approaching.