ICCAS OpenIR
Adaptive ore grade estimation method for the mineral deposit evaluation
Li, Xiao-li1; Xie, Yu-ling1; Guo, Qian-jin2; Li, Li-hong3
2010-12-01
Source PublicationMATHEMATICAL AND COMPUTER MODELLING
ISSN0895-7177
Volume52Issue:11-12Pages:1947-1956
AbstractOre grade estimation is one of the most key and complicated aspects in the evaluation of a mineral deposit. Its complexity originates from scientific uncertainty. This paper introduces a new nonlinear and adaptive method to the problem of ore grade estimation, which is based on the Wavelet Neural Network (WNN) approach, and is designed to receive drill hole information from an orebody and perform ore grade estimation on a block model basis. The nonlinear ore grade estimation method combining the properties of the wavelet transform and the advantages of Artificial Neural Networks (ANNs) provides fast and reliable ore grade estimation, with minimum assumptions and minimum requirements for modeling skills. A number of case studies have been carried out using the new ore grade estimation method. The results obtained and the overall functionality of the method prove that Wavelet Neural Networks can offer a fast and robust grade estimation technique and a valid alternative to well established methodologies in this area. (C) 2010 Elsevier Ltd. All rights reserved.
KeywordOre Grade Estimation Nonlinear And Intelligent Method Wavelet Neural Networks
DOI10.1016/j.mcm.2010.04.018
Indexed BySCI ; ISTP
Language英语
WOS IDWOS:000281614600006
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iccas.ac.cn/handle/121111/69592
Collection中国科学院化学研究所
Corresponding AuthorXie, Yu-ling
Affiliation1.Univ Sci & Technol Beijing, Sch Civil & Environm Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, State Key Lab Mol React Dynam, Inst Chem, Beijing 100190, Peoples R China
3.Henan Univ Sci & Technol, Coll Vehicle & Mot Power Engn, Luoyang, Peoples R China
Recommended Citation
GB/T 7714
Li, Xiao-li,Xie, Yu-ling,Guo, Qian-jin,et al. Adaptive ore grade estimation method for the mineral deposit evaluation[J]. MATHEMATICAL AND COMPUTER MODELLING,2010,52(11-12):1947-1956.
APA Li, Xiao-li,Xie, Yu-ling,Guo, Qian-jin,&Li, Li-hong.(2010).Adaptive ore grade estimation method for the mineral deposit evaluation.MATHEMATICAL AND COMPUTER MODELLING,52(11-12),1947-1956.
MLA Li, Xiao-li,et al."Adaptive ore grade estimation method for the mineral deposit evaluation".MATHEMATICAL AND COMPUTER MODELLING 52.11-12(2010):1947-1956.
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