Application research on genetic programming in the prediction of mining subsidence

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...

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Bibliographic Details
Published in2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Vol. 1; pp. 29 - 32
Main Authors Sun Xue-yang, Xia Yu-cheng, Qi Hui-min, Xiao Liang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Decision support systems
Genetic Algorithms
Genetic programming
Mining Subsidence
predictions
Zirconium
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Summary: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.
ISBN:9781424447541
1424447542
DOI:10.1109/ICICISYS.2009.5357941