摘要
针对地下开采引起的岩层移动与变形,提出一种基于遗传规划的采空区地面沉陷预测新方法.基于MTLAB工具编制的遗传规划程序,选取影响地面沉陷的主要因素,搜集学习样本对程序进行了训练,建立了采空区地面沉陷预测的遗传规划模型.最后,利用有关实测数据,对模型进行了实例检验.结果表明,预测误差在工程允许范围之内,应用遗传规划方法进行采空区地面沉陷预测是可行的.
A new pcedieting method of surface subsidence in mlned-out areas based on genetic programming（GP） was put forward, in allusion to the shift and displace of terrain as a result of underground mining. Based on GP program in MTLAB language, through selecting the main influencing factors of surface subsidence, and collecting practical mining induced surface subsidence data to train GP program, a GP model of surface subsidence prediction in mined-out areas was set up. Finally, the GP model was tested by the in-situ measured sample data. Results show that the prediction errors are within the scope of project permission, and it is feasible to apply GP method to predicting surface subsidence in mined-out areas.
出处
《华北水利水电学院学报》
2011年第4期113-115,共3页
North China Institute of Water Conservancy and Hydroelectric Power
关键词
采空区
地面沉陷
遗传规划
预测
mined-out areas
surface subsidence
genetic programming
prediction
