Fuzzy genetic programming method for analysis of ground movements due to underground mining
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- @Article{Li:2007:IJRMMS,
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author = "Wen-Xiu Li and Lan-Fang Dai and Xiao-Bing Hou and
Wen Lei",
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title = "Fuzzy genetic programming method for analysis of
ground movements due to underground mining",
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journal = "International Journal of Rock Mechanics and Mining
Sciences",
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year = "2007",
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volume = "44",
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number = "6",
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pages = "954--961",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Fuzzy
measures, Underground mining, Ground surface movement",
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DOI = "doi:10.1016/j.ijrmms.2007.02.003",
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abstract = "The prediction of ground surface movements is an
important problem in rock and soil mechanics in the
excavation activities especially the coal and metal
mining. Based on results of the statistical analysis of
a large amount of measured data in underground
excavation engineering, the fuzzy genetic programming
method (FGPM) of ground surface movements is given by
using the theory of fuzzy probability measures and
genetic programming (GP). And genetic programming
approach is proposed to determine the parameter of
ground surface movements due to underground mining of
coal in this paper. Genetic programming is trained by
used practical mining induced surface movement data.
The agreement of the theoretical results with the field
measurements shows that the FGPM is satisfactory and
the formulae obtained are valid and thus can be
effectively used for predicting the ground surface
movements due to underground mining, especially the
mining of coal and metal.",
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notes = "College of Machinery and Civil Engineering, Hebei
University, Baoding 071002, PR China
Research Institute of Geotechnical Engineering, Hebei
University, Baoding 071002, PR China",
- }
Genetic Programming entries for
Wen-Xiu Li
Lan-Fang Dai
Xiao-Bing Hou
Wen Lei
Citations