Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2015-02-01

Journal: APPLIED SOFT COMPUTING

Included Journals: SCIE、EI

Volume: 27

Issue: 27

Page Number: 533-542

ISSN: 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.