李英龙, 童光煦. 应用神经网络建立采矿经验知识库[J]. 工程科学学报, 1994, 16(6): 512-516. DOI: 10.13374/j.issn1001-053x.1994.06.002
引用本文: 李英龙, 童光煦. 应用神经网络建立采矿经验知识库[J]. 工程科学学报, 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

应用神经网络建立采矿经验知识库

Building Empirical Mining Knowledge Base Using Neural Network

  • 摘要: 应用神经网络建立了获取采矿方法选择时所需的主要技术经济指标的采矿经验知识库,并以普通全面法为例,描述建造BP网络模型的过程.研究结果表明:利用这个采矿经验知识库,就可以根据采矿方法的工程背景,求得它的主要技术经济指标.

     

    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.

     

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