基于SOM网络的上市公司聚类分析

针对现有上市公司聚类模型（如传统的统计方法和近年来出现的模糊模型）实际聚类效果并不理想的问题，引入了自组织特征映射神经网络方法，为了说明该方法的可应用性，建立了上市公司聚类指标体系，并在实际数据样本的基础上，利用自组织特征映射神经网络方法对上市公司进行了分类评价．通过对其结果进行分析，证实了该方法能有效地解决这一问题．     

基于RBF神经网络的沿海地区发展脆弱性评价

全球性海平面上升对中国沿海地区发展的影响越来越显著.运用"源-路径-受体-影响"(SPRC)模型分析海平面上升对沿海地区发展脆弱性影响机理,从资源、环境、经济以及社会4个方面综合构建了沿海地区发展脆弱性评价指标体系;利用主成分分析法消除评价指标间冗余信息,结合RBF神经网络方法,对沿海各个地区在海平面上升情景下发展脆弱性进行了相关研究.结论显示,中国华东、华南沿海地区脆弱性等级较高于华北、东北沿海地区,而各区域内部脆弱性等级差异较小;从时间演变分析,2006-2016年,中国沿海地区整体脆弱性等级呈上升趋势,局部地区保持平稳.     

21世纪我国沿海地区地面沉降防治问题

 沿海地区为我国政治、经济、科技、文化的重要区域 ,但地势低平 ,生态环境极其敏感和脆弱 ,是自然灾害的高风险区 ,而区域性地面沉降更加剧了该地区生态环境的脆弱性 ,并引发一系列资源、环境、经济、社会问题。区域性地面沉降已成为21世纪我国沿海地区实现可持续发展面临的重大战略问题。沿海地区生态环境和社会经济特征世界上一半以上的人口和大、中城市云集在沿海地区。我国有长达18000km的海岸线 ,沿海地区有广阔的滨海平原和河口三角洲 ,土地面积占全国总面积的14% ,而人口却占全国总人口的40 %.我国约65 %的工业总产值、55%的国民生产总值及70%的大中城市均分布在沿海地区。     

基于神经网络的模拟电路故障诊断

探讨了基于故障字典法和基于神经网络的故障诊断方法,利用自组织特征映射神经网络进行模拟电路故障诊断,根据神经网络的输出结果可以判断发生故障的类型.自组织特征映射神经网络聚类能力强、速度快,因此很适合复杂系统的故障诊断.     

自组织特征映射神经网络的区域经济发展聚类分析

自组织特征映射(SOM)神经网络是无教师自组织、自学习网络,具有优良的数据聚类功能.基于选取的区域经济发展评价指标,对2006年我国31个省(地区)的综合经济实力进行聚类分析.结合主成分得分对聚类结果综合评价,实证效果较好.     

基于图像色彩和纹理的SOM聚类和检索方法

作者根据图像的全局色彩和区域纹理信息,使用自组织映射神经网络的方法对图像内容进行聚类和检索.全局色彩在HSI空间使用区域累加的方法,避免了维数过大的问题.用区域纹理描述的方法解决了使用单一色彩带来的不准确性;自组织映射网络所特有的特征选择和无监督学习等特性,实现了对视觉相似图像的聚类.     

21世纪我国沿海地区地面沉降防治问题

沿海地区为我国政治、经济、科技、文化的重要区域 ,但地势低平 ,生态环境极其敏感和脆弱 ,是自然灾害的高风险区 ,而区域性地面沉降更加剧了该地区生态环境的脆弱性 ,并引发一系列资源、环境、经济、社会问题。区域性地面沉降已成为２１世纪我国沿海地区实现可持续发展面临的重大战略问题。一、沿海地区生态环境和社会经济特征世界上一半以上的人口和大、中城市云集在沿海地区。我国有长达１８０００ｋｍ的海岸线 ,沿海地区有广阔的滨海平原和河口三角洲 ,土地面积占全国总面积的１４% ,而人口却占全国总人口的４０ %。我国约６５ %的工业…     

自组织特征映射在人群健康风险评估中的应用研究

运用自组织特征映射神经网络（SOM）方法分析人群的健康状况，给出评估结果，并对该方法是否适合健康评估进行评价，为后续的研究工作指明方向。     

江苏省沿海地区城镇空间布局研究

以江苏沿海地区城镇为研究对象,通过对沿海地区城镇空间布局现状特征的分析,指出城镇空间布局的不合理是制约沿海地区经济快速发展的主要因素.在对以往发展战略进行深入研究的基础上,提出沿海地区未来城镇空间布局应充分考虑港口在经济发展中的作用,采取扇状组合式的布局方案,以便更好地带动沿海地区城镇地域系统的发展,并提出了一些优化该模式的建议.     

近50年浙江沿海地区降水变化特征分析

基于1971—2020年浙江沿海地区38个气象站点的逐日降水资料，运用线性倾向估计、滑动平均、Mann-Kendall检验等方法，对该地区近50年的降水变化特征进行了系统分析.结果表明：浙江沿海地区的降水量、极端降水强度及极端降水天数均呈现上升趋势；北部、中部沿海地区的降水量的年代际变化特征均呈现“少→多→少→多”的变化过程，而南部沿海地区则呈现“少→多”的变化过程；突变性检验的地区差异明显，北部沿海地区年降水量的突变现象出现在2013年，中部沿海地区出现在1973年和2012年，而南部沿海地区在20世纪70—80年代存在多个突变点；研究区的极端降水格局主要受热带气旋等因素的影响.该结果可以为浙江沿海地区的防灾减灾、海岸资源管理等提供科学依据和决策参考.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.