Application research on genetic programming in the prediction of mining subsidence
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{Sun:2009:ICIS,
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author = "Xue-yang Sun and Yu-cheng Xia and Hui-min Qi and
Liang Xiao",
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title = "Application research on genetic programming in the
prediction of mining subsidence",
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booktitle = "IEEE International Conference on Intelligent Computing
and Intelligent Systems, ICIS 2009",
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year = "2009",
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month = nov,
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volume = "1",
-
pages = "29--32",
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keywords = "genetic algorithms, genetic programming, data mining,
linear problems, mining subsidence prediction, data
mining, linear programming",
-
DOI = "doi:10.1109/ICICISYS.2009.5357941",
-
abstract = "Based on unique advantage of genetic programming on
solving linear problems, it was introduced into mining
subsidence. By using relevant data of mining subsidence
and the method of genetic programming, the nonlinear
relation between maximum amount of mining subsidence
and its influencing factors was set up. Compared with
practical data, the results showed that the prediction
accuracy of mining subsidence was improve effectively
by using the method than other prediction methods, and
a new idea for prediction of mining subsidence was
provided.",
-
notes = "Also known as \cite{5357941} PDF severly broken Feb
2010",
- }
Genetic Programming entries for
Xue-yang Sun
Yu-cheng Xia
Hui-min Qi
Liang Xiao
Citations