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Predicting the Free Calcium Oxide Content on the Basis of Rough Sets, Neural Networks and Data Fusion.

Authors :
Istrail, Sorin
Pevzner, Pavel
Waterman, Michael S.
Kang Li
Xin Li
Irwin, George William
Gusen He
Yunxing Shu
Shiwei Yun
Bo Ge
Source :
Life System Modeling & Simulation; 2007, p326-334, 9p
Publication Year :
2007

Abstract

This study first created a model to predict the content of free calcium oxide (fCaO) of the calcined clinker in the rotary kiln by adopting the technologies of rough sets, neural networks and data fusion. And then it was used to predict the quality of the calcined clinker in the rotary kiln and pleasant simulation results were obtained, indicating that the model is valid and has attained the goal of increasing the training speed and precision. Besides, it has solved many problems in the course of cement production, such as big inertia, lagging, time variation, serious nonlinearity, multiple parameters, serious coupling, and difficulty in creating systematic models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540747703
Database :
Complementary Index
Journal :
Life System Modeling & Simulation
Publication Type :
Book
Accession number :
33169828
Full Text :
https://doi.org/10.1007/978-3-540-74771-0_37