Prediction for silicon content in molten iron using a combined Fuzzy-Associative-Rules Bank

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3614, Issue PART II, 2005, Pages 667-676

  Luo, Shi Hua ^a   Liu, Xiang Guan ^a   Zhao, Min ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; IRON; IRON AND STEEL INDUSTRY; LINGUISTICS; MOLTEN MATERIALS; ONLINE SYSTEMS; SILICON;

FUZZY RULES; FUZZY-ASSOCIATIVE-RULES BANK; MOLTEN IRON; SILICON CONTENT;

FUZZY SETS;

EID: 26944501208     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11540007_82     Document Type: Conference Paper

References (15)

1. Biswas, A.K.: Principles of Blast Furnace Ironmaking. SBA Publication, Calcutta (1984)
2. Chen, J.: A Predictive System for Blast Furnaces by Integrating a Neural Network with Qualitative Analysis. Engineering application of artificial intelligence, 14 (2001) 77-85
3. Gao, C.H., Zhou, Z.M.: Modified Chaotic Adding Weight One-rank Local-region Forecasting for Silicon Content in Molten Iron of Blast Furnace. Acta Phys. Sin., 53 (2004) 4092-4096
4. Gao, C.H., Zhou, Z.M., Shao, Z.J.: Chaotic Local-region Linear Prediction of Silicon Content in Hot Metal of Blast Furnace. Acta Metall. Sin. 41 (2005) 433-436
5. Singh, H., Sridhar, N.V., Deo, B.: Artificial Neural Nets for Prediction of Silicon Content of Blast Furnace Hot Metal. Steel Research, 67 (1996) 521-527
6. Yao, B., Yang, T. J., Ning, X.J.: An Improved Artificial Neural Network Model for Predicting Silicon Content of Blast Furnace Hot Metal. Journal of University of Science and Technology Beijing, 7(2000) 269-272
7. Miyano, T., Kimoto, S., Shibuta, H. et. al.: Time Series Analysis and Prediction on Complex Dynamical Behavior Observed in a Blast Furnace. Physica D, 135 (2000) 305-330
8. Jose, A.C., Hiroshi, N., Jun-ichiro, Y.: Three-dimensional Multiphase Mathematical Modeling of the Blast Furnace Based on the Multifluid Model. ISIJ International, 42 (2002) 44-52
9. Juan, J., Javier, M., Jesus, S.A., et. al.: Blast Furnace Hot Metal Temperature Prediction Through Neural Networks-based Models. ISIJ International, 44 (2004) 573-580
10. Wang, L.X., Mendel, J.M.: Generating Fuzzy Rules by Learning from Examples. IEEE Trans. on Systems, Man and Cybern., 22(1992) 1414-1427
11. Wang, L.X.: Fuzzy Systems are Universal Approximators. Proc. IEEE Int. Conf. Fuzzy Systems, San Diego, CA, USA, (1992) 1163-1170
12. Liu, X.G., Liu, F.: Optimization and Intelligent Control System of Blast Furnace Ironmaking Process. Metallurgical industry Press, Beijing (2003)
13. Ding, J., Wang, W.S., Zhao, Y.L.: General Correlation Coefficient Between Variables Based on Mutual Information. Journal of Sichuan University (Engineering Science Edition), 34(2002) 1-5
14. Lee, C.C.: Fuzzy Logic in Control Systems, Fuzzy Logic Controller, Part I. IEEE Trans. on SYST., Man, and Cybern., SMC-20 (2) (1990) 404-418
15. Wang, L.X.: A Supervisory Controller for Fuzzy Control Systems that Guarantees Stability. IEEE Trans. On Automatic Control, 39 (1994) 1845-1848