降水预测的模糊权马尔可夫模型及应用

中长期降水量的预测是气象科学的一个难点问题，论文首先基于降水过程存在大量不确定性、不精确性的特点，应用模糊有序聚类的方法建立降水丰桔状况的分级标准；然后针对降水量为相依随机变量的特点，采取以规范化的各阶自相关系数为权重，用加权的马尔可夫链来预测未来降水的丰桔变化状况；在此基础上，根据模糊集理论中的级别特征值，计算出具体的降水量；最后以山西省河曲水文站近50年的降水资料为实例，对该方法进行了具体的应用，收到了较为满意的结果，从而为提高中长期降水量预报的精度提供了一条值得探索的途径。     

半序集的内禀拓扑(Ⅱ)

在这篇文章中我们讨论了一个半序集的内禀拓扑的紧性和连通性,以及内禀拓扑与其在子集中的导出拓扑之间的关系,主要结果有:1.格L的区间拓扑是紧的,当且仅当L是备的;2.局部有限散度半序集P的区间拓扑是连通的,当且仅当P是稠的且条件备;3.格L中设M=[←,p],则M的区间拓扑(开区间拓扑)和L的区间拓扑(开区间拓扑)在M的导出拓扑等价.     

鲤亚目几种名优鱼的随机扩增多态性DNA分析

采用OPA、OPC和OPM三组共60条随机引物对鲤亚目的七种名优鱼和一种杂交品种进行了随机扩增多态性DNA(m)分析,对其中35个引物的扩增条带进行了统计,计算了它们之间的遗传相似率和遗传距离,在此基础上,利用UPGMA聚类分析建立了它们之间的亲缘关系,结果与传统分类是一致的,并且将杂交品种与纯种区分开来,实验还初步筛选了7种鱼的RAPD分子标记,探讨了用R6PD技术来鉴定名优鱼应用的可行性。     

羰基簇合物途径制备的碳载Pt-Co催化剂阴极抗甲醇性能

通过Pt和Co羰基簇合物途径制备了碳载Pt—Co(Pt-Co／C)复合催化剂．其金属粒子的平均粒径小．相对结晶度很低．与商业化的E-TEK Pt／C催化剂相比,该催化剂具有较好的抗甲醇性能和电催化氧还原活性．     

A new self-adapting admission control algorithm for differential service in Web clusters

A new admission control algorithm considering the network self-similar access characteristics is proposed. Taking advantage of the mathematical model of the network traffic admission control which can effectively overcome the self-similar characteristics of tile network requests, through the scheduling of the differential service queue based on priority while at the same time taking into account various factors including access characteristics of requests, load information, etc. smoothness of the admission control is ensured by the algorlthm proposed in this paper. We design a non-linear self-adapting control algorithm by introducing an exponential admission function, thus overcomes the negative aspects introduced by static threshold parameters. Simulation results show that the scheme proposed in this paper can effectively improve the resource utilization of the clusters, while at the same time protecting the service with high priority. Our simulation resuhs also show that this algorithm can improve system stability and reliability too.     

Fuzzy cluster analysis of the provenance of ancient Yaozhou porcelain body

The technique of neutron activation analysis (NAA) has been employed to measure the content of 29 kinds of elements in the sample of Yaozhou porcelain bodies,Then a fuzzy cluster analsis has been conducted to the NAA data and a diagram of the dynamic fuzzy cluster analysis has been achived,The results indicate that the batch of ancient Yaozhou porcelain bodies,which were of different overglaze color and were produced by different kilns during a period of over 800 years from the Tang Dynasty (618-907 A.D.) to the Yuan Dyansty(1271-1368 A.D.) ,has shared a stable and concentrated raw material source,Provenances of porcelain bodies from different times ,though having their specific independence ,enjoy a close relationship and are not far from one another,Provenances of porcelain bodies made during the Tang Dynasty and the Five Dynasties (907-960 A.D.)are found to be closer to one another,while those of the Song (960-1279A.D.) and the Jin Dynasty (1115-1234 A.D.)are comparatively concentrated in certain areas and are different from those of the Tang Dynasty .Both the tri-colored glazed pottery made in Yaozhou kilns during the Tang Dynasty and the Yaozhou porcelain bodies of the Tang period are from the same provenance.     

彩色图象量化方法的研究

彩色图象量化是图象处理中的关键技术之一,本文讨论了几种常用的色彩量化算法,并且提出限一种新的统计聚类算法,实验表明,该算法是一种性能较好、复杂度低的图象色彩量化方法。     

投影寻踪动态聚类模型

投影寻踪聚类模型在多因素聚类分析中被广泛应用并取得了满意的效果,然而,该模型还存在诸如密度窗宽参数取值经验确定等不足,有待改进提高.本文针对投影寻踪聚类模型的不足,首次把投影寻踪的思想和动态聚类方法结合起来构造投影指标,基于免疫进化算法,建立了投影寻踪动态聚类新模型.新模型一方面在整个运算过程中毋需人为给定参数,聚类结果客观、明确,另一方面,它还具有稳定性好、操作简便等特点.洪水分类的实际应用表明,投影寻踪动态聚类模型切实可行,取得了很好的效果,在多因素聚类分析领域具有广阔的应用前景.     

大规模网络中基于移动代理的拓扑发现机制

针对基于移动代理的大规模网络拓扑发现,提出了一种基于移动代理洪泛的自启发式深度优先染色生成树算法。将一个大规模网络划分为若干个子网,在各子网内部利用移动代理洪泛策略并行地获取各子网拓扑信息。利用移动代理将每个子网拓扑信息进行汇总获得整个网络的拓扑。算法的复杂度分析和仿真结果表明本算法可在一定程度上减少网络流量和拓扑周期。     

自动化系统数据挖掘问题的模拟退火解法

数据挖掘是近年来发展起来的新技术,指挥自动化的辅助决策过程也越来越依靠数据挖掘求解。通过数据挖掘,可以有效地处理海量数据,为正确决策提供支持。模拟退火是一种性能优越的计算智能算法,广泛应用于求解非线性最优化问题。数据挖掘中的数据聚类与模拟退火在本质特性上存在相似,可以将模拟退火应用于数据挖掘。通过蒙特卡罗方法生成随机数据,进行基于模拟退火的聚类分析。算例表明,新方法能够很好地进行数据聚类,具有较好的适用性。