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