基于支持向量机的建筑物采动损害预测模型  

Prediction Model of Mining-induced Building Damage Based on Support Vector Machine

作　　者：张鲜妮[1] 王磊 ZHANG Xianni;WANG Lei(School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan 232001, China;State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China)

机构地区：[1]安徽理工大学测绘学院,安徽淮南232001 [2]山东科技大学矿山灾害预防控制省部共建国家重点实验室培育基地,山东青岛266590

出　　处：《矿业安全与环保》2016年第6期40-44,共5页Mining Safety & Environmental Protection

基　　金：国家自然科学基金项目(41602357);安徽省博士后基金项目(2014B019);矿山灾害预防控制省部共建国家重点实验室培育基地开放基金项目(MDPC2013KF14);安徽理工大学青年基金项目(QN201405)

摘　　要：为了科学预测与评估煤矿采动引起的建筑物采动损害程度,在系统分析建筑物采动损害影响因素的基础上,基于支持向量机理论,利用矿区典型建筑物采动损害案例,首次建立了煤矿开采影响下建筑物采动损害程度的支持向量机预测模型,并测试了该模型的可行性和可靠性。研究成果可为建筑物采动损害预测提供一条新的技术途径。In order to scientifically predict and evaluate the mining-induced building damage degree in the coal miningarea, a prediction model for the mining-induced building damage degree based on the support vector machine(SVM) was builton the basis of the systematical analysis of the influence factors of the mining-induced building damage and by using the damagecases of the typical buildings in coal mining areas, and the feasibility and reliability of this model were tested. This researchresult can provide a new technical way for the prediction of the mining-induced building damage.

关 键 词：开采沉陷 建筑物采动损害 支持向量机 预测模型 

分 类 号：TD823.83[矿业工程—煤矿开采]