摘要
针对当前开采沉陷不同阶段的单点沉陷变形预计精度不高的问题,该文首次从基于相关性的组合预测模型的思想出发,建立了面向沉陷不同阶段的基于相关系数的组合预测模型。实例验证结果表明,基于相关系数的组合预测模型在开采沉陷预测中的应用克服了单一模型的局限性,能够有效利用不同单一模型的信息,有较高的精度和可信度;能够满足不同阶段的开采沉陷预测,更适用于对沉陷变形数据要求高的场合。
Aiming at the low forecasting accuracy of the point subsidence at different stages of coal seam mining, this paper first from the angle of the combination forecast model and the combination forecasts model based on correlativity was established according to different instances of mining subsidence. Experimental results showed that the proposed model could overcome the limitations of single model, which is able to effectively use different information of a single model and have higher accuracy and reliabil- ity; it could satisfy the different stages of the mining subsidence and is more suitable for the occasions with higher requirements on subsidence deformation data.
出处
《测绘科学》
CSCD
北大核心
2017年第10期181-185,共5页
Science of Surveying and Mapping
基金
国家"十二五"科技支撑计划项目(2012BAB13B03)
江苏省高校优势学科建设工程资助项目(SZBF2011-6-B35)
