Improved grey prediction model for land subsidence at finished underground mining
Underground mining is one of the causes of land subsidence.The process of the land subsidence caused by underground mining is complicated and systematicness.Accurate prediction the land subsidence has important practical or immediate significance to avoid the damage to land subsidence.Grey system theory was applied extensively and had gained a series of achievements,but our preliminary study shows that the general GM(1,1) model was inadequate to handle land subsidence prediction as its only adapt to the data with exponential law,and the defect was the coefficients choice of α and (X)(1)(1)in prediction formula.According to the defect,an improved grey-based land subsidence predictor is promoted by applying the transformed grey model and the concept of average system slope.The adaptive value of α in the grey differential equation is obtained quickly with the average slope technique.The example shows that the prediction accuracy has been improved quite a lot in comparison with general grey model.
Grey theory Average slope Land subsidence Underground mining
Xie Zhengwen Hu Hanhua
safety and environment protection reasch institute,China Jiliang University Hang Zhou,Zhejiang 31001 School of Resources and safety Engineering,Central South University Changsha,Hunan 410083,China
国际会议
The 2007 International Conference on Mine Hazards Prevention and Control(2007矿山灾害预防与控制国际学术会议)
青岛
英文
576-581
2007-10-17（万方平台首次上网日期，不代表论文的发表时间）