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基于变权聚类与条带式GM(1,1)模型的矿山资源管理研究

Study on mine resource management based on variable weights clustering and strip type GM(1,1) model
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摘要 考虑到矿山资源综合利用率由主要矿产品资源利用率和附生矿产品资源利用率构成,而各种矿产品的资源利用率又由矿石贫化率,矿石回采率以及选矿回收率决定,利用灰色聚类理论对历年矿山资源综合利用情况进行了变权聚类.根据聚类结果结合矿山实际情况对历年矿山资源综合利用情况进行了分级,针对原有的灾变式GM(1,1)模型只能对上灾变序列和下灾变序列进行预测,预测信息有限的情况,将灾变式GM(1,1)模型改进成条带式GM(1,1)模型,利用条带式GM(1,1)模型对矿山资源综合利用情况较差的年份进行了分级预测,对不同级别的预测年份,分别采取了不同的应对措施,为矿山提前应对提供了科学依据. Because mine integrated resource utilization ratio was composed by main mineral product resource utilization ratio and epiphytic mineral product resource utilization ratio,and each mineral product resource utilization ratio was decided by ore dilution ratio,ore recovery and dressing recovery,grey cluster theory was applied to variable weights cluster mine integrated resources utilization ratio.According to the clustering results combined with actual situation in mine,mining resources integrated utilization situation was graded,to the original catastrophic GM(1,1)model only can forecast upper catastrophic sequence and lower catastrophic sequence,forecast information was limited,catastrophic GM(1,1)model was improved to strip type GM(1,1) model,the strip type GM(1,1) model was applied to forecast the years of worse mine integrated by different grade,resource utilization ratio,to different grade of forecasting years,different measures were adopted respectively provide the scientific basis for mine advance cope.
出处 《湖南科技大学学报(自然科学版)》 CAS 北大核心 2010年第4期9-15,共7页 Journal of Hunan University of Science And Technology:Natural Science Edition
基金 国家自然科学基金资助项目(50774092) 全国优秀博士学位论文专项资金资助(200449)
关键词 矿山资源 灰色变权聚类 GM(1 1)模型 条带式GM(1 1)模型 灾变式GM(1 1)模型 mine resources gray variable weights clustering GM(1 1) model strip type GM(1 1)model Catastrophic GM(1 1) model
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