DocumentCode :
506615
Title :
Application research on genetic programming in the prediction of mining subsidence
Author :
Xue-yang, Sun ; Yu-Cheng, Xia ; Hui-min, Qi ; Liang, Xiao
Author_Institution :
Sch. of Geol. & Environ., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Volume :
1
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
29
Lastpage :
32
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.
Keywords :
data mining; genetic algorithms; linear programming; data mining; genetic programming; linear problems; mining subsidence prediction; Decision support systems; Genetic programming; Zirconium; Genetic Algorithms; Genetic Programming; Mining Subsidence; predictions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5357941
Filename :
5357941
Link To Document :
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