Hybrid Intelligence Model Based on Image Features for the Prediction of Flotation Concentrate Grade
Joint Authors
Wang, Yalin
Xu, Honglei
Gui, Weihua
Zhou, XiaoLing
Chen, Xiaofang
Caccetta, Lou
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-30
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
In flotation processes, concentrate grade is the key production index but is difficult to be measured online.
The mechanism models reflect the basic tendency of concentrate grade changes but cannot provide adequate prediction precision.
The data-driven models based on froth image features provide accurate prediction within well-sampled space but rely heavily on sample data with less generalization capability.
So, a hybrid intelligent model combining the two kinds of model is proposed in this paper.
Since the information of image features is enormous, and the relationship between image features and concentrate grade is nonlinear, a B-spline partial least squares (BS-PLS) method is adopted to construct the data-driven model for concentrate grade prediction.
In order to gain better generalization capability and prediction accuracy, information entropy is introduced to integrate the mechanism model and the BS-PLS model together and modify the model output online through an output deviation compensation strategy.
Moreover, a slide window scheme is employed to update the hybrid model in order to improve its adaptability.
The industrial practical data testing results show that the performance of the hybrid model is better than either of the two single models and it satisfies the accuracy and stability requirements in industrial applications.
American Psychological Association (APA)
Wang, Yalin& Chen, Xiaofang& Zhou, XiaoLing& Gui, Weihua& Caccetta, Lou& Xu, Honglei. 2014. Hybrid Intelligence Model Based on Image Features for the Prediction of Flotation Concentrate Grade. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1033739
Modern Language Association (MLA)
Wang, Yalin…[et al.]. Hybrid Intelligence Model Based on Image Features for the Prediction of Flotation Concentrate Grade. Abstract and Applied Analysis No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1033739
American Medical Association (AMA)
Wang, Yalin& Chen, Xiaofang& Zhou, XiaoLing& Gui, Weihua& Caccetta, Lou& Xu, Honglei. Hybrid Intelligence Model Based on Image Features for the Prediction of Flotation Concentrate Grade. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1033739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033739