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A Nonlinear Grade Estimation Method Based on Wavelet Neural Network
Li, Xiaoli; Xie, Yuling; Li, Lihong; Guo QJ(郭前进); Li, XL
作者部门工业信息学研究室
会议名称4th International Conference on Bio-Inspired Computing
会议日期October 16-19, 2009
会议地点Beijing, China
会议主办者Dalian Univ, Zhengzhou Univ, Light Ind, IEEE Beijing Sect
会议录名称Proceedings of the 2009 Fourth International Conference on Bio-Inspired Computing: Theories and Applications. BIC-TA 2009
出版者IEEE
出版地NEW YORK
2009
页码62-66
收录类别EI ; CPCI(ISTP)
EI收录号20100312635811
WOS记录号WOS:000276195100011
产权排序3
ISBN号978-1-4244-3865-5
摘要

Grade estimation is one of the most complicated aspects in mining. Its complexity originates from scientific uncertainty. This paper introduces a nonlinear Wavelet Neural Network (WNN) approach to the problem of ore grade estimation. The nonlinear WNN method combing the properties of the wavelet transform and the advantages of Artificial Neural Networks (ANN) provide fast and reliable ore grade estimation, with minimum assumptions and minimum requirements for modeling skills. The WNN grade estimation method has been tested on a number of real deposits. The result shows that the WNN has advantages of rapid training, generality and accuracy grade estimation approach. It can provide with a very fast and robust alternative to the existing time-consuming methodologies for ore grade estimation.

语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19842
专题工业信息学研究室
通讯作者Li, XL
作者单位1.Civil and Environmental Engineering School, University of Science and Technology, Beijing 100083, China
2.College of Vehicle and Motive Power Engineering, Henna University of Science and Technology, 471003, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
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GB/T 7714
Li, Xiaoli,Xie, Yuling,Li, Lihong,et al. A Nonlinear Grade Estimation Method Based on Wavelet Neural Network[C]//Dalian Univ, Zhengzhou Univ, Light Ind, IEEE Beijing Sect. NEW YORK:IEEE,2009:62-66.
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