模糊数学方法在分析日本东海地区地震前兆中的应用     

冯德益  市川政治 《地震研究》1989,12(4):360-369

本文把模糊模式识别的直接方法用于检测日本东海地区地震活动性、体积应变、地下水位、地下水氡含量、地倾斜和潮位中的前兆变化。此方法可消除诸如降雨和气温变化等干扰,使我们能更清晰地识别出地震前兆。此外,还把模糊相似方法和模糊聚类方法应用于识别地震空区及检验地震活动随时间变化的相似性。上述方法在日本其他地区同样有效,即将编入日本气象研究所板内地震预报计划中的计算机系统内。  相似文献   

动态聚类-模糊模式识别及其应用     

殷棣  贺国信 《铀矿地质》1987,(6)

本文以模糊子集论为指导,在迪戴的DCM法的基础上提出了动态聚类-模糊模式识别方法。实际上,它是一种新的模糊聚类的方法。该方法以DCM法的动态聚类部分做为原始数据变换的手段,而将迪戴的强模式概念推广为模糊模式,将强模式识别推广为模糊模式识别。此外,还提出了模糊模式间联系度的概念,从而解决了类间联系、类内典型个体、类间过渡个体、个体对各类的隶属程度以及内部有某种演化趋势的类别的划分等问题。文章还给出了该方法的数学模型和算法概要。最后,通过一个在地质学中的应用实例,说明了该方法的应用效果。  相似文献   

基于变网格聚类的离群数据的研究     

刘金生  刘金辉  周焕银 《华东地质学院学报》2007,30(4):370-373

随着计算机技术的迅速发展,计算机在过程控制中起着越来越重要的作用,在集散控制系统中,上位机通过PCU(Process ControlUnit)传送来的数据进行分析处理而后对PCU实现参数整定、报警与管理。因此这一领域的数据挖掘方法研究具有十分重要的意义。文章将根据这一领域的特殊情况,提出一种基于变网格的聚类分析算法分析过程数据库中的离群数据,从而实现系统的预测报警功能。  相似文献   

安徽省旅游星级饭店地域差异研究     

王娟  祝小迁  戴昕  李渊 《福建地理》2007,(1)

根据2000～2005年安徽省星级饭店统计资料,利用变异系数这一度量标准分析了安徽省饭店在时间序列上和星级结构上的地域差异,结果表明:随着时间的变化饭店总数在各市间的差异在渐渐缩小.星级结构上五星级饭店地域分异程度最大,其次依次为一星级、四星级、三星级和二星级,通过安徽省各市国内旅游收入区位商和餐饮住宿业就业人员区位商与各市星级饭店数量相对水平的比较,找出不符合一般趋势的城市加以讨论.最后,运用SPSS分析软件对安徽省17个地市的星级饭店发展水平进行聚类分析,并讨论了运行结果所分出的4类城市,提出了饭店业发展的若干建议.  相似文献   

影响我国主要粮食作物产量的气象因子研究   总被引：3，自引：2，他引：3  

曾燕  邱新法  黄海智 《气象》2002,28(9):36-40

通过收集前人主要粮食作物气象产量预报的研究成果，将所得到的资料按作物进行分类，并进行归一化处理，使用系统聚类分析方法，以预报方程中的影响因子为指标，分区找出各区主要粮食作物产量的主、次要影响因子和影响时期，为大范围作物产量预报提供了科学依据。  相似文献   

Self-organised clustering for road extraction in classified imagery     

Peter Doucette  Peggy Agouris  Anthony Stefanidis  Mohamad Musavi 《ISPRS Journal of Photogrammetry and Remote Sensing》2001,55(5-6)

The extraction of road networks from digital imagery is a fundamental image analysis operation. Common problems encountered in automated road extraction include high sensitivity to typical scene clutter in high-resolution imagery, and inefficiency to meaningfully exploit multispectral imagery (MSI). With a ground sample distance (GSD) of less than 2 m per pixel, roads can be broadly described as elongated regions. We propose an approach of elongated region-based analysis for 2D road extraction from high-resolution imagery, which is suitable for MSI, and is insensitive to conventional edge definition. A self-organising road map (SORM) algorithm is presented, inspired from a specialised variation of Kohonen's self-organising map (SOM) neural network algorithm. A spectrally classified high-resolution image is assumed to be the input for our analysis. Our approach proceeds by performing spatial cluster analysis as a mid-level processing technique. This allows us to improve tolerance to road clutter in high-resolution images, and to minimise the effect on road extraction of common classification errors. This approach is designed in consideration of the emerging trend towards high-resolution multispectral sensors. Preliminary results demonstrate robust road extraction ability due to the non-local approach, when presented with noisy input.  相似文献   

Detecting and analyzing clusters of low-birth weight incidence using exploratory spatial data analysis     

Steven Reader 《GeoJournal》2001,53(2):149-159

  相似文献   

Space-time interaction amongst clusters of mining induced seismicity   总被引：1，自引：0，他引：1  

A. Kijko  C. W. Funk 《Pure and Applied Geophysics》1996,147(2):277-288

Elementary cluster analysis of induced seismicity in a South African gold mine has shown that there is a clear interaction amongst the clusters; and that the level of the interaction is a function of the distance. The clusering algorithm used is an adaptation of the single-link cluster analysis which considers both three-dimensional space and time. A high level of interaction between the clusters is demonstrated from the cross-correlation analysis of seismic activity rates and radiated energy. A distinct decrease in the value of correlation coefficients was detectable as distance increased. This was somewhat surprising, considering the simplicity of the technique used. Since no attempt is made to study the physical mechanisms of interaction, these results are very preliminary, but interesting from an observational point of view.  相似文献   

Multifractal modeling and spatial point processes   总被引：8，自引：0，他引：8  

Quiming Cheng  Frederik P. Agterberg 《Mathematical Geology》1995,27(7):831-845

The multifractal model can be applied to spatial point processes. It provides new, approximately power-law type, expressions for their second-order intensity and K (r) functions. The box-counting and cluster dimensions are different but mutually interrelated according to multifractal theory. This approach is used to describe the underlying spatial structure of gold mineral occurrences in the Iskut River area, northwestern British Columbia. The box-counting and cluster dimensions for the example are estimated to be 1.335±0.077 and 1.219±0.037, respectively. The relatively strong clustering of the gold deposits is reflected by the fact that both values are considerably less than the corresponding Euclidean dimension (=2).  相似文献   

金相分析中消除划痕的两种方法     

梁采 《成都信息工程学院学报》1999,(4):91

介绍了两种在金相分析中采用模式识别技术,以距离聚类和角度类消除划痕的方法,使主体更加突出,分类评级更加准确,也降低了对试样的磨制要求。  相似文献