灰色关联理论在国内生产总值构成分析中的应用     

刘毅娟  张志让 《成都信息工程学院学报》2006,21(Z1):90-93

国内生产总值能够全面反映全社会经济活动的总规模,是衡量一个国家或地区经济实力,评价经济形势的重要综合指标,世界上大多数国家都采用这一指标.研究国内生产总值的构成对研究国民经济有着重要的贡献.国内生产总值有着众多构成要素,其中包括:农业、工业、建筑业、交通运输仓储及邮电通信业、批发零售贸易及餐饮业、房地产业等等.就国内生产总值的6个主要构成要素,在定性分析的基础上运用灰色关联理论对构成因素进行定量的深入分析.  相似文献   

应用灰色聚类分析部署地质找矿工作     

燕长海 《河南国土资源》1995,(1)

本文以汝阳南部铅锌矿成矿预测勘查过程中预测出的３２个含矿单元为例，阐述了如何用灰色系统理论中的灰色聚类分析方法定量地划分预测靶区类别，合理、客观地部署铅锌矿地质找矿工作，取得了令人满意的结果。  相似文献   

ENVIRONMENTAL PROBLEMS ASSOCIATED WITH LARGE RECREATIONAL SUBDIVISIONS     

Hubert B. Stroud 《The Professional geographer》1983,35(3):303-313

Recreational subdivisions are extensive operations that have produced tremendous change in many areas. Environmental problems are widespread and often intensified by the extreme degree of clustering. Severe environmental impacts could be reduced substantially if the projects were developed in phases, water resource use was limited to environmentally “safe'’yields, and other environmental constraints were considered by project officials.  相似文献   

An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska     

G. F. Estabrook  S. Outcalt 《Mathematical Geology》1984,16(2):193-205

An algorithm to cluster profile data into groups that minimize the sum of the intra-group variances was applied to near-surface soil ice content data collected near Barrow, Alaska, in wet tundra terrain. When the algorithm was requested to produce 2–5 groups and group mean profiles, the results were consistant with the modern theory of ice segregation. This process produces much of the variability of near surface soil ice stratigraphy in nature. These results strengthen the case for employing the algorithm on other profile data sets as an aid in hypothesis formulation.  相似文献   

Typological factor analysis: A new classification method applied to geology     

M. Dumitriu  C. Dumitriu  M. David 《Mathematical Geology》1980,12(1):69-77

The purpose of typological factor analysis is to detect, within a multidimensional sample, the existence of subsets characterized by different maximal elongation directions. The method which has been successfully applied in the field of pattern recognition can be considered from two points of view: (1) an automatic classification or dynamic clustering technique: and (2) a form of factor analysis. Using this form of analysis nuclei of affine varieties (points, axes, planes, etc) are identified. Different case studies were analyzed in order to establish the advantages of the method compared to other methods. Geochemical analyses of rock samples; that is, rhyolites, mafic, and intermediate rocks of the Normetal (Abitibi) area were subjected to typological factor analysis for the purpose of classification of geological deposits and detection of geochemical anomalies. The method was also applied to the classification of sediments from the Barataria Bay area in Louisiana.  相似文献   

昆仑山玉龙喀什河最大洪峰出现日期的灰色预测     

汤奇成  周成虎 《山地学报》1988,(3)

玉龙喀什河是昆仑山北坡最大的河流——和田河的主要支流。玉龙喀什河同古孜洛克水文站夏洪严重。因此预测最大洪峰出现日期是十分有意义的。用灰色系统理论来预测最大洪峰出现日期,是以原始数据为基础,按累加生成,建立GM(1,1)模型,并通过模型求出平滑度,进而作相对误差检验,合格后再作预测。经过检验,预测基本上符合实际。  相似文献   

基于路径的聚类分析     

张开广  孟红玲  亢金轩 《测绘科学技术学报》2006,23(2):145-148

聚类分析的很多算法中都采用连接两点直线的欧氏距离来判断空间亲疏性,然而当有障碍物层存在时,连接两点的直线已不能完全表达它们之间的关系,特别是当有指定的交通路线时,两点之间的连通路径和距离必须遵从特定的路径.文中讨论在了障碍物或指定的交通路线存在的情况下点集的聚类分析,给出了解决有障碍物或指定交通路线时进行聚类分析的算法PathClust.  相似文献   

非等步长GM(1,1)模型及其在大堤沉降监测的应用   总被引：10，自引：0，他引：10  

刘明波  田林亚  孙和平 《测绘工程》2006,15(3):58-60

针对非等步长数据,传统GM方法是构造等步长序列,生成1-AGO序列,再建立等步长GM(1,1)模型。考虑到变形观测序列非等步长特性,以相邻观测时间间隔为权,直接生成1-WAGO序列,建立非等步长GM(1,1)模型。将GM(1,1)模型应用于堤防工程沉降观测分析与预报,得到了有益的结论。  相似文献   

利用改进灰色模型的钟差预报算法及其精度分析   总被引：1，自引：0，他引：1  

张清华  隋立芬  牟忠凯  王冰 《测绘科学》2012,(1):51-53,114

灰色模型在钟差长期预报中虽具有一定的优势,但是预测的精度还有进一步提高的可能。在本文中,采用经过数据预处理和残差修正对一阶灰色模型进行了改进,再对GPS卫星钟差进行不同时间尺度上的预报。算例利用IGS提供的精密钟差产品,建立了一个基于改进灰色模型的预报算法,改进灰色模型的预报精度较传统的二次项模型有了很大的提高,且预报结果的收敛性也获得了一定程度的改善。  相似文献   

加权多变量灰色模型在变形监测中的应用     

任凤  安吉斯  张吉春  王芳 《地理空间信息》2012,10(5):146-148

在变形监测过程中,监测因子较多,难以对监测因子进行合理的取舍。首先利用灰关联度分析方法,将监测因子根据灰关联度进行关联排序,为合理选择监测因子提供理论依据;然后,利用得到的关联度进行平滑处理,并将其作为权值建立加权多变量灰色模型,推广了传统的多变量灰色模型,提高了预测精度;最后,以南充水库土石坝沉降数据为例,验证了模型的正确性。算例结果表明,加权多变量灰色模型的平均相对误差比传统灰色模型小,模型精度也比传统模型高。  相似文献