Indexed by:期刊论文

First Author:Lv, Zheng

Correspondence Author:Liu, Y (reprint author), Dalian Univ Technol, Sch Control Sci & Engn, Dalian, Peoples R China.

Co-author:Liu, Ying,Zhao, Jun,Wang, Wei

Date of Publication:2015-02-01

Journal:APPLIED SOFT COMPUTING

Included Journals:EI、SCIE

Document Type:J

Volume:27

Issue:27

Page Number:533-542

ISSN No.:1568-4946

Key Words:Overflow particle size; Soft computing; Case based reasoning; Community finding

Abstract:The overflow particle size of cyclone is one of the most significant performance indices in the process of ore grinding. Given the measuring difficulty under the current industrial conditions, a hybrid method, which combines community finding (CF) of a complex network with case-based reasoning (CBR) is proposed in this study. The CF method with a new evaluation criterion for the vertex combination degree is designed to select the typical cases from the constructed communities, and a k-nearest neighbors (k-NN) based strategy with multi-similarity threshold is proposed in the case retrieval process. To verify the effectiveness of the proposed method, a number of comparative simulations by using the real-world data coming from a copper-molybdenum concentration plant are carried out, and the results indicate that the proposed method can provide a good measure quality for the industrial application. (C) 2014 Elsevier B. V. All rights reserved.

Translation or Not:no