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Indexed by:期刊论文

Date of Publication:2014-01-10

Journal:NEUROCOMPUTING

Included Journals:SCIE、EI、Scopus

Volume:123

Issue:,SI

Page Number:415-423

ISSN No.:0925-2312

Key Words:Basic oxygen furnace; Case-based reasoning; Support vector machine; Mutual information; Conditional entropy

Abstract:The control of oxygen blowing volume and coolant addition amount is very important in the production of Basic Oxygen Furnace (BOF). In this paper, for oxygen blowing volume and coolant addition amount calculation, a combination model is proposed based on information theory and artificial intelligence technology, which is composed of Case-based Reasoning (CBR) model and Support Vector Machine (SVM) model. For the former, mutual information is introduced to determine the weights of attributes and make the retrieval step more valid than traditional method. For the latter, mutual information is adopted to distinguish the importance of input variables by setting a weight for each variable. The CBR model is considered as experience-based model and the SVM model is a data-based model. To solve the control problems of oxygen blowing volume and coolant addition amount, CBR model and SVM model are combined by conditional entropy. Tests on a 180 t BOF data substantiate the effectiveness of the proposed model. (C) 2013 Elsevier B.V. All rights reserved.