Prediction of Free Lime Content in Cement Clinker Based on RBF Neural Network
Prediction of Free Lime Content in Cement Clinker Based on RBF Neural Network
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Publisher
Heidelberg: Wuhan University of Technology
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Language
English
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Publisher
Heidelberg: Wuhan University of Technology
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Contents
Considering the fact that free calcium oxide content is an important parameter to evaluate the quality of cement clinker, it is very significant to predict the change of free calcium oxide content through adjusting the parameters of processing technique. In fact, the making process of cement clinker is very complex. Therefore, it is very difficult...
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Full title
Prediction of Free Lime Content in Cement Clinker Based on RBF Neural Network
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TN_cdi_proquest_miscellaneous_1221864307
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1221864307
Other Identifiers
ISSN
1000-2413
E-ISSN
1993-0437
DOI
10.1007/s11595-012-0433-3
