基于遗传算法的边坡稳定性评价的动态聚类法

针对常规动态聚类方法对初始聚类中心的敏感性以及聚类结果与样本输入次序有关等问题，提出了基于遗传算法的边坡稳定性评价的动态聚类方法，此方法对三峡库岸36个边坡的研究结果表明，该方法是一个具有全局最优解的动态聚类方法，其结果明显好于常规动态聚类方法。     

On the methods to identify clustering properties in sequences of seismic time-occurrences

In recent years there has been deep development in the use of techniquesto analyse the statistical properties of point process time series. Furthermoremany efforts have been made to establish robust methods to identify timeclustering structures in the temporal distribution of seismic events. In thispaper we intend to give a systematic review of some common usedtechniques to characterise the temporal properties of an earthquakesequence; we also present new methods, commonly used in other scientificfields, to reveal time clustering structures in a seismic sequence and toclearly identify non-poissonian behaviours at different time scales. Anapplication of these methods has been performed on the seismicity ofIrpinia-Basilicata area (Southern Italy).     

一种新模糊似然函数在聚类分析中的应用

运用一种新的模糊似然函数，用以表示模糊集合之间的相似程度。举例说明在气象时间序列中的应用，并与常用的度量样本相似程度的指标进行对比，得出几点有意义的结论。     

Use of Space-Filling Curves in Generating a National Rural Sampling Frame for HIV/AIDS Research*

The classical geographic research problem of regionalization and resource allocation is most commonly tackled by means of location-allocation methods. This paper introduces the spatial-order method as an alternative for creating regions or clusters. The spatial-order method utilizes space-filling curves, also known as Peano curves, to determine the nearness or spatial order of areal units, such as counties. Given a capacity constraint, the areal units are grouped consecutively according to their spatial order values. We applied the method to create clusters of rural counties for a national sampling survey of HIV/AIDS patients in the United States. Using the criteria that each cluster had approximately 50 new AIDS cases in 1991–1993 and that contiguity of areal units was maximized, 226 clusters were created from the 1,853 rural counties or health districts. The rural clusters generated by this method have been adopted as the national rural sampling frame in the HIV Cost and Services Utilization Study (HCSUS) being undertaken by RAND. In addition to its simplicity and fast computational speed, the spatial-order method produces satisfactory results. With minor modifications, this method can be an efficient alternative to the location-allocation method for solving a wide variety of locational problems, such as routing, political districting, and facilities location and allocation. This paper also demonstrates how a classical geographic research methodology, with the enhancement of GIS, can contribute to the multidisciplinary study of a pressing societal problem in our nation.     

M≥6.0强震后地震序列类型的模糊聚类分析

在充分了解地震序列特征的基础上，选出２６项地震序列的原始特征。根据这些原始特征的Ｗａｌｌｅｎ评分，精选出１１项能突出表现地震序列的特征参数作为指标。采用ＩＳＯＤＡＴＡ模糊聚类方法对地震序列进行分类，Ⅰ类为Ｍ≥６．０强震后三个月内还有震级为Ｍ≥５．０的强震发生；Ⅱ类为Ｍ≥６．０强震后三个月内无Ｍ≥５．０的地震。对中国大陆地区１９６６年以来的２２次Ｍ≥６．０强震序列进行聚类分析，建立预报震后趋势判别模型，然后以８次强震序列为例进行了外推检验。结果表明，该方法对地震序列类型的判别效果较好。     

用聚类分析法划分山东省农业气象产量气候区

详细介绍了用聚类分析法划分山东省农业气象产量气候区的方法。用该方法制作产量分区预报，不仅考虑了分区内农业气候条件的影响，还考虑了分区内的生产力水平和行征区的划分，从而使农业气象产量预报更具体，更准确且比较简便。     

Fuzzy computing based rainfall–runoff model for real time flood forecasting

This paper analyses the skills of fuzzy computing based rainfall–runoff model in real time flood forecasting. The potential of fuzzy computing has been demonstrated by developing a model for forecasting the river flow of Narmada basin in India. This work has demonstrated that fuzzy models can take advantage of their capability to simulate the unknown relationships between a set of relevant hydrological data such as rainfall and river flow. Many combinations of input variables were presented to the model with varying structures as a sensitivity study to verify the conclusions about the coherence between precipitation, upstream runoff and total watershed runoff. The most appropriate set of input variables was determined, and the study suggests that the river flow of Narmada behaves more like an autoregressive process. As the precipitation is weighted only a little by the model, the last time‐steps of measured runoff are dominating the forecast. Thus a forecast based on expected rainfall becomes very inaccurate. Although good results for one‐step‐ahead forecasts are received, the accuracy deteriorates as the lead time increases. Using the one‐step‐ahead forecast model recursively to predict flows at higher lead time, however, produces better results as opposed to different independent fuzzy models to forecast flows at various lead times. Copyright © 2004 John Wiley & Sons, Ltd.     

丽江市黑龙潭地区水文地质条件分析

以丽江市玉龙县境内的黑龙潭地区为主要研究对象,总结了已有的水文地质资料,分析了九子海-黑龙潭地区的岩性、构造等特征。通过对研究区内及周边泉的调查研究,认为北衙组中段、上段的灰岩、白云质灰岩是研究区的主要含水层,地形切割上述含水层使得地下水出露成泉。对水样进行了水化学聚类分析和氢氧同位素分析,发现含水层主要接受大气降水的渗透补给。按照水力联系对泉点进行了划分。根据研究区内及周边地区的泉点分布分析了地下空间的特点和地下水的联系。研究结果对泉群的利用、保护具有参考价值。     

顾及几何形状相似性的简单多边形最近距离计算方法

提出简单多边形距离计算方法,在计算简单多边形最近距离的同时,可以求得多边形之间彼此面对的线段链.针对多边形之间不同位置关系,给出不同的最近距离和多边形之间彼此面对线段链的计算算法.     

基于模糊C均值聚类的云图样本修正与云类自动识别

基于云类样本的红外-可见光二维灰度空间投影,采用模糊聚类方法调整优化云类样本特征区域,消除采样误差。针对常规模糊C均值聚类(FCM)方法在处理上述问题时表现出的局限性,提出用样本特征均值替代FCM中随机初始中心的改进办法,既避免了常规FCM方法对初始中心敏感的缺陷,又可纠正其聚类结果对云类样本特征结构的歪曲。改进后的聚类结果既消除了采样误差,又保持了云类样本的基本特征属性。基于该判据的分类结果,可较为准确地分辨出陆地、水体、低云、中云、卷云、对流云和积雨云,分割判另9结果符合客观实际。