Application Research on Genetic Programming in the Prediction of mining subsidence

被引：0

作者：

Sun Xue-yang ^{[1
]}

Xia Yu-cheng ^{[1
]}

Qi Hui-min ^{[1
]}

Xiao Liang ^{[1
]}

机构：

[1] Xian Univ Sci & Technol, Sch Geol & Environm, Xian, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年

关键词：

Genetic Programming; Genetic Algorithms; Mining Subsidence; prediction;

D O I：

10.1109/ICICISYS.2009.5357941

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：29 / 32

页数：4

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