四种多变量校准方法在FTIR多组分分析中的性能比较

本文对四种多变量校准方法－－经典最小二乘法（CLS），偏最小二乘法（PLS），卡尔曼滤波法（KFM）以及人工神经网络法（ANN）－－在多组分浓度分析方面的性能进行了比较。选择五种红外谱图严重混叠的大气有机毒物－－1，3－丁二烯，苯，邻二甲苯，氯苯和丙烯醛－－作为分析对象。分别计算各种方法对该5组分体系的平均预测误差MPE和平均相对误差MRE进行比较。结果表明，偏最小二乘法在处理这类问题中是最稳健的方法。     

邮政通信网局部预测模型的研究和实现

为建立模型对网络实体流量流向进行预测,通过对实际情况的分析,得出新的局部预测模型方案,并为模型设定多级子模型,当模型需要变换时,只需要加入新的影响因素,不需要改变模型框架,这样使得模型更加适合邮政通信网仿真优化的需要。对于其它类似的仿真系统模型建立也有一定的启发作用。     

网络资源建设的思考

在现在的教育教学活动过程中,以网络教育形式来传递教育教学信息,愈发显得重要。以网络基础开展的教育教学活动中,资源建设对整个教学的进展起着至关重要的作用     

局域网中基于ASP的办公信息的采集

办公事务中经常要求采集各种信息，传统的做法是印发数据表、填写数据表、再把数据录入到微机数据库保存和处理；现利用Windows98的PWS和Access数据库，以Weh浏览器和Web服务器交互访问的方式，将局域网上收集的信息直接保存到数据库中．     

Asymptotic analysis of a large closed queueing network with discriminatory processor sharing

In this paper the steady-state behavior of a closed queueing network with multiple classes and large populations is investigated. One of the two nodes of the network simply introduces random delays and the discipline in the other node is discriminatory processor sharing. The network is not product-form, so not even the steady-state behavior is known. We assume that the usage is moderately heavy, and obtain two-term asymptotic approximations to the mean number of jobs, and the mean sojourn time, of each class of jobs in the processor node. We also obtain the leading term in the asymptotic approximation to the joint distribution of the number of jobs in the processor node, which is a zero-mean multivariate Gaussian distribution around a line through the origin.     

求解无线传感器网络路由问题的蚁群最优化算法及其收敛性

首先将无线传感器网络的路由问题转化成求解最小Steiner树问题,然后给出了求解无线传感器网络路由的蚁群优化算法,并对算法的收敛性进行了证明．最后对找到最优解后信息素值的变化进行了分析．即在限制信息素取值的条件下,当迭代次数充分大时,该算法能以任意接近于1的概率找到最优解,并且当最优解找到后,最优树边上的信息素单调增加,而最优解以外边上的信息素在有限步达到最小值．     

The construction of infinite families of any k-tight optimal and singular k-tight optimal directed double loop networks

The double loop network(DLN)is a circulant digraph with n nodes and outdegree 2.It is an important topological structure of computer interconnection networks and has been widely used in the designing of local area networks and distributed systems.Given the number n of nodes,how to construct a DLN which has minimum diameter?This problem has attracted great attention.A related and longtime unsolved problem is:for any given non-negative integer k,is there an infinite family of k-tight optimal DLN?In this paper,two main results are obtained:(1)for any k≥0,the infinite families of k-tight optimal DLN can be constructed,where the number n(k,e,c)of their nodes is a polynomial of degree 2 in e with integral coefficients containing a parameter c.(2)for any k≥0, an infinite family of singular k-tight optimal DLN can be constructed.     

网络教学中的预测分析

阐述了开发网络教学系统的系统构成及开发工具,在此基础上提出了基于Web技术的辅助教学系统及预测分析模块,介绍了预测分析模块的工作原理及其构成预测分析模块的量化数据的来源,包括课程资源、讨论答疑、作业提交、测验考试资源等.另外,综述了预测分析的功能特色,应用效果,以及网络教学评价前景和发展.     

Small-world and the growing properties of the Chinese railway network

By using the tools of statistical physics and recent investigations of the scaling properties of different complex networks, the structural and evolving properties of the Chinese railway network (CRN) is studied. It has been verified that the CRN has the same small-world properties of the Indian railway network (IRN). According to the class of small-world networks, we believe the CRN is a single scale. In addition, a novel result is obtained. Measurements on the CRN indicate that the rate at which nodes acquire links depends on the node’s degree and follows a power law.