Application Research on Genetic Programming in the Prediction of mining subsidence

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.

关键词： Genetic Programming,Genetic Algorithms Mining Subsidence, prediction

作者: Sun Xue-yang Qi Hui-min Xia Yu-cheng Xiao Liang

作者单位: School of Geology and Environment Xian University of Science and Technology Xian,China School of Geology and Environment Xian University of Science and Technology Xian China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 29-32

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）