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Intellectual Factor Analysis Method and Its Application in Mining 被引量：1

Intellectual Factor Analysis Method and Its Application in Mining
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摘要 In this paper, the factor analysis method based on BP (back propagation) weight space is put forwardformining research. With this method, a factor analysis tool is developed. A case study is also presented to test the method, and the reasonable results are obtained. In this paper, the factor analysis method based on BP (back propagation) weight space is put forwardformining research. With this method, a factor analysis tool is developed. A case study is also presented to test the method, and the reasonable results are obtained.
作者 谭章禄 王华胜
出处 《International Journal of Mining Science and Technology》 SCIE EI 1999年第2期156-159,共4页 矿业科学技术学报（英文版）
关键词 MINING artificial NEURAL NETWORK BP FACTOR analysis mining, artificial neural network, BP, factor analysis
分类号 TD67 [矿业工程—矿山机电]
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同被引文献13

  • 1Garson G D. Interpreting neural-network connection weights [J].AI Expert,1991,6(7) :47 -51.
  • 2Roth M. Neural network technology for ATR [J]. IEEE Transactions on Neural Nerworks, 1990,1 ( 1 ) :29 - 32.
  • 3Kayama M, et al. Modeling generalization capability for a mutilayered neural network classifier and optimizing its number of hidden units [A]. Proceedings of the International Joint Conference on Neural Networks [C]. Beijing:1992. 429 -434.
  • 4Tan Z L, Wang H S. Intellectual factor analysis method and its application in mining [J]. Journal of China University of Mining & Technology,1999,9(2) :156 - 159.
  • 5Garson G D. Interpreting neural-network connection weights [ J ].AI Expert,1991,6(7) :47 -51.
  • 6Roth M. Neural network technology for ATR [J]. IEEE Transactions on Neural Nerworks, 1990,1 (1) :29 - 32.
  • 7Kayama M, et al. Modeling generalization capability for a mutilayered neural network classifier and optimizing its number of hidden units [ A]. Proceedings of the International Joint Conference on Neural Networks [C]. Beijing:1992. 429 ～ 434.
  • 8谢安国,陆钟武.人工神经网络及在钢铁企业能耗分析中应用方法的研究[J].钢铁,1997,32(10):60-63. 被引量：6
  • 9李英龙.基于神经网络与弹性分析的因素分析法及其应用[J].系统工程理论与实践,1998,18(12):44-49. 被引量：3
  • 10杨璐,高自友.用神经网络进行变量选择[J].北方交通大学学报,1999,23(3):53-56. 被引量：16

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International Journal of Mining Science and Technology
1999年 第2期

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