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Soft sensing method for magnetic tube recovery ratio via fuzzy systems and neural networks
- Source :
-
Neurocomputing . Aug2010, Vol. 73 Issue 13-15, p2489-2497. 9p. - Publication Year :
- 2010
-
Abstract
- Abstract: A magnetic tube recovery ratio (MTRR) is an important index in mineral processing, though it cannot be measured online. Real-time control for this product index is impossible. In this paper a new soft sensing method is proposed, which uses fuzzy system and neural network techniques. The contributions of our soft sensing method are that a fuzzy mechanism model for MTRR is used, which is obtained from data clustering. We do not update the fuzzy model, but use a neural compensator to improve the modeling accuracy, where the training algorithm for the neural network stable. This soft sensing method has been successfully applied in a metal company in China. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 73
- Issue :
- 13-15
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 52875207
- Full Text :
- https://doi.org/10.1016/j.neucom.2009.12.036