Building Empirical Mining Knowledge Base Using Neural Network

Li Yinglong; Tong Guangxu

doi:10.13374/j.issn1001-053x.1994.06.002

Volume 16 Issue 6

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Li Yinglong, Tong Guangxu. Building Empirical Mining Knowledge Base Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(6): 512-516. doi: 10.13374/j.issn1001-053x.1994.06.002

Citation:

Li Yinglong, Tong Guangxu. Building Empirical Mining Knowledge Base Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(6): 512-516. doi: 10.13374/j.issn1001-053x.1994.06.002

Li Yinglong, Tong Guangxu. Building Empirical Mining Knowledge Base Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(6): 512-516. doi: 10.13374/j.issn1001-053x.1994.06.002

Citation:

Li Yinglong, Tong Guangxu. Building Empirical Mining Knowledge Base Using Neural Network[J]. Chinese Journal of Engineering, 1994, 16(6): 512-516. doi: 10.13374/j.issn1001-053x.1994.06.002

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Building Empirical Mining Knowledge Base Using Neural Network

doi: 10.13374/j.issn1001-053x.1994.06.002

Department of Mining and Mineral Engineering. USTB, Beijing 100083, PRC

Received Date: 1993-12-20
Available Online: 2021-11-13

Abstract

Abstract

An empirical mining knowledge base which consists of BP modelsand its application to predict major techno-economical indexes for preliminarily selected mining methods is presented.and the process of building the BP models for open stope mining method is described.Studies indicate that using the empirical mining knowledge base,the major technoeconomical indexes of mining methods can be predicted,based on their engineering background.
- mining engineering,
- neural network/knowledge base,
- BP model