基于小波网络的管理信息系统多指标综合评价方法

本在建立管理信息系统综合评价指标体系的基础上，提出了一种基于小波网络的管理信息系统多指标综合评价方法，该方法不仅能够模拟专家对管理信息系统进行综合评价，避免评价过程中的人为失误，而且有比BP网络更好的收敛性能。仿真实验表明，采用该方法所获得的结果是令人满意的。     

从我国管理信息系统的发展与现状看珠算的作用

时至今日，计算机在人们心目中已变得不再陌生和神秘了，随着我国生产力水平的不断提高，计算机已在各行各业中得到了普遍的推广与应用。作为企业现代化管理不可缺少的一个重要环节与工具——计算机管理信息系统已在各个应用层次上展现出越来越重要的作用。     

基于耦合映像格子的城市交通系统相继故障研究

在对一个实际的城市交通系统进行复杂网络描述的基础上,构造了该城市交通系统的耦合映像格子模型,利用该模型研究了城市交通系统的相继故障问题,应用计算机仿真手段研究了干扰强度和网络相继故障的关系,网络相继故障在攻击条件下对于节点度数的敏感性以及不同攻击策略下网络相继故障的传播问题,对实际城市交通系统的规划、设计、建设和管理具有现实意义.     

城市规划监察管理信息系统的设计开发

利用数据库技术及网络技术,经过程序设计,动态链接和CAD绘图,城市规划监察管理信息系统可以提供建立、编辑、查询、统计、打印案卷以及系统维护等一系列功能,从而实现了规划监察的办公自动化,可供其他城市参考。     

兼顾个别化学习的网络教学模式——也评“高等数学”教学设计

随着计算机网络技术的发展 ,网络教学在我国各种层次的学校中已蓬勃展开 .它为现代教育带来了新观念、新方法和新技术 .本文结合“高等数学”课件设计 ,对课件的制作、内容选取、表现方式等方面逐一分析 ,希望人们能在此基础上对网络教学的内涵有进一步的理解和认识 .     

省级经贸信息系统建设中的若干问题研究

本针对省级经贸委的主要职能和特点，提出了省级经贸信息系统建设的总体目标和功能，给出了计算机网络的一般性结构，并对系统的性能和开发策略进行了探讨。     

大学数学数字化教学资源建设的探索与实践

随着计算机技术、网络技术的普及,利用先进的计算机技术、多媒体技术、网络技术,实现校园网络化、资源数字化、管理科学化,即教育信息化,已成为高等学校改革的重点.数字化教学资源建设是实现教学手段和教学方法改革的关键,是实现教育信息化的基础.大学数学数字化教学资源在高等学校数学课程建设和教学中正发挥着越来越大的作用.大学数学课程是高等院校中至关重要的基础课程,它包括大学数学类专业(数学与应用数学专业、信息与计算科学专业)的数学课程和非数学类专业数学基础课程.大学生的数学教育是所有专业教育和文化教育中非常基础、重要的…     

一个小型的计算机网络计划编制系统

本文介绍一个小型的计算机网络计划编制系统应具备的功能，以及计算机网络计划编制的方法与步骤。     

网络计划编制系统中网络图的自动生成

本文从设计角度，系统地介绍了一个计算机网络计划编制系统中如何实现计算机辅助生成网络图和时间坐标网络图的方法与步骤。并阐述了资源优化的计算机实现。     

网络系统可靠性综述

网络系统的可靠度计算早期仅限于两终端无向问题,这是从可靠性框图抽象成网络的必然结果。七十年代开始,随着许多大型复杂的运输网络、通讯网络、计算机网络、输油、输汽、输电网络的发展,使得问题的提法需要扩充。同时,由于实际工程的迫切需要也出现了不少新的算法并在理论上取得了某些新进展。美国可靠性理论学者巴罗(R. E. Barlow)教授认为,八十年代将是网络可靠性的时代。为了给读者这一课题的概貌,我们对目前的现状作一简单介绍。     

A RESTRICTED TRUST REGION METHOD WITH SUPERMEMORY FOR UNCONSTRAINED OPTIMIZATION

1.IntroductionInunconstrainedoptimizationthebasicproblemconsideredisMinf(x)(1.1)wheref(x):R"-Risarealdifferentiablefunction.Manyalgorithmshavebeenproposedforsolving(1.1).The8upermemorydescentmethodisoneofthem.Itsmainideaistocombineadescentdirectionwiththedisplacementsgeneratedbypreviousiterationsforobtaininganewsearchdirection.thetypicaJformofthemethodisshownbyWolfeandViazminsky['4].Thatis,forthekthiteration,calculateak3P1`),skandxk+ifrom1)TheProjectSupportedbyNationalNaturalSciencesFoun…     

New normalized nonlocal hybrid level set method for image segmentation

This article introduces a new normalized nonlocal hybrid level set method for image segmentation. Due to intensity overlapping, blurred edges with complex backgrounds, simple intensity and texture information, such kind of image segmentation is still a challenging task. The proposed method uses both the region and boundary information to achieve accurate segmentation results. The region information can help to identify rough region of interest and prevent the boundary leakage problem. It makes use of normalized nonlocal comparisons between pairs of patches in each region, and a heuristic intensity model is proposed to suppress irrelevant strong edges and constrain the segmentation. The boundary information can help to detect the precise location of the target object, it makes use of the geodesic active contour model to obtain the target boundary. The corresponding variational segmentation problem is implemented by a level set formulation. We use an internal energy term for geometric active contours to penalize the deviation of the level set function from a signed distance function. At last, experimental results on synthetic images and real images are shown in the paper with promising results.     

枪弹头痕迹自动比对方法的研究

研究了枪弹头痕迹自动比对方法,用最优化的方法消除测量误差,通过中值滤波去除随机噪声,并根据数据的相似性度量理论确定了以横向相关性为基础的比对方案.     

On distributed scheduling with heterogeneously delayed network-state information

We study the problem of distributed scheduling in wireless networks, where each node makes individual scheduling decisions based on heterogeneously delayed network state information (NSI). This leads to inconsistency in the views of the network across nodes, which, coupled with interference, makes it challenging to schedule for high throughputs. We characterize the network throughput region for this setup, and develop optimal scheduling policies to achieve the same. Our scheduling policies have a threshold-based structure and, moreover, require the nodes to use only the “smallest critical subset” of the available delayed NSI to make decisions. In addition, using Markov chain mixing techniques, we quantify the impact of delayed NSI on the throughput region. This not only highlights the value of extra NSI for scheduling, but also characterizes the loss in throughput incurred by lower complexity scheduling policies which use homogeneously delayed NSI.     

考虑关联性特征匹配的城市生命线风险应对方案选择方法

针对城市生命线风险应对方案选择问题涉及的特征指标关联性和信息形式多样性,本文提出了一种考虑关联性特征匹配的混合型决策方法。首先,给出实际域、设定域和公共域的定义,并将具有区间数、语言短语等信息形式的风险事件特征指标值和应对方案特征指标值分别映射为实际域和设定域,进而通过两者的面积交织确定公共域;然后,将公理设计方法扩展到混合型决策环境,计算出反映风险事件与应对方案在各个特征指标下匹配程度的信息量,并进行应对方案的初筛;进一步地,采用2-additive Choquet积分算子将特征指标的权重、关联系数和初筛后剩余应对方案的信息量集结为反映风险事件与应对方案综合匹配程度的信息总量,并据此选择最优的应对方案。最后,通过算例分析验证了所提方法的有效性和可行性。研究结果表明,该方法能够为相关监管部门快速响应城市生命线风险、最大程度地降低风险损失和危害提供有效的决策支持。     

A new adaptive trust region algorithm for optimization problems

It is well known that trust region methods are very effective for optimization problems. In this article, a new adaptive trust region method is presented for solving unconstrained optimization problems. The proposed method combines a modified secant equation with the BFGS updated formula and an adaptive trust region radius, where the new trust region radius makes use of not only the function information but also the gradient information. Under suitable conditions, global convergence is proved, and we demonstrate the local superlinear convergence of the proposed method. The numerical results indicate that the proposed method is very efficient.     

一个锥模型的自适应信赖域算法及其收敛性

本文研究了无约束最优化问题的基于锥模型的自适应信赖域算法.利用理论分析得到一个新的自适应信赖域半径.算法在每步迭代中以变化的速率、当前迭代点的信息以及水平向量信息调节信赖域半径的大小.从理论上证明了新算法的全局收敛性和Q-二阶收敛性.用数值试验验证了新算法的有效性.推广了已有的自适应信赖域算法的可行性和有效性.     

基于小波域的多尺度非参数图像分割方法

主要介绍了一种基于信息熵理论及图像多尺度信息来对图像进行非参数主动轮廓模型分割的有效方法.由于小波多分辨率特性的引入,可以最大程度地利用图像多尺度信息以确保分割的准确性和完整性.又由于小波变换的特性,低频信息的使用更是进一步降低了噪声影响.文中把图像分割问题定义为在分割区域边缘长度满足一定约束条件下,图像标记场与各个尺度图像像素值之间的互信息熵最大化过程.该方法可以有效地降低噪声对于分割的影响,及确保分割的准确性和完整性.     

Hybrid bootstrap for mapping quantitative trait loci

The hybrid bootstrap uses resampling ideas to extend the duality approach to interval estimation for a parameter of interest when there are nuisance parameters. The confidence region constructed by the hybrid bootstrap may perform much better than the parametric bootstrap region in situations where the data provide substantial information about the nuisance parameter, but limited information about the parameter of interest. We apply this method to estimate the location of quantitative trait loci (QTL) in interval mapping model. The conditional distribution of quantitative traits, given flanked genetic marker genotypes is often assumed to be the mixture model of two phenotype distributions. The mixing proportions in the model represent the recombination rate between a genetic marker and quantitative trait loci and provides information about the unknown location of the QTL. Since recombination events are unlikely, we will have less information about the location of the QTL than other parameters. This observation makes a hybrid approach to interval estimation for QTL appealing, especially since the necessary distribution theory, which is often a challenge for mixture models, can be handled by bootstrap simulation.     

A stable class of improved second-derivative free Chebyshev-Halley type methods with optimal eighth order convergence

In this paper, we present a uniparametric family of modified Chebyshev-Halley type methods with optimal eighth-order of convergence. In terms of computational cost, each member of the family requires only four functional evaluations per step, and hence is optimal in the sense of Kung-Traub conjecture. Moreover, in order to have additional information to choose some elements of the class, in particular some stable enough, we use complex dynamics tools to analyze their stability. Then, some ranges of values of the parameter are found to be avoided but we show that the region of stable members of this family is vast. It is found by way of illustration that these proposed methods are very useful in high precision computations.