粗糙核k-means聚类算法

通过研究核聚类算法,以及粗糙集,提出了一个新的用于聚类分析的粗糙核聚类方法。通过mercer核映射把输入空间中的样本映射到Hilbert空间,使样本空间中没有显现的特征在特征空间中突现出来,在这种样本差异加大的基础上,结合粗糙集的思想,把样本分别划到相应聚类中心的上、下近似中,上、下近似中的样本按照一定的比例来共同决定新的聚类中心。这样不但聚类精度大大提高,而且算法收敛速度也较快。仿真实验的结果表明该算法的可行性和有效性。     

基于核密度估计的层次聚类算法

聚类分析是统计、模式识别和数据挖掘等领域中一个非常基础且非常重要的研究课题，具有广泛的应用前景。在众多的聚类方法中，基于密度的方法是一种相当有效的聚类方法，能够发现任意形状的聚类，对噪声数据不敏感，但是聚类结果严重依赖于用户参数的合理选择。以DENCLUE算法为基础，一种基于核密度估计的层次聚类算法被提出，该算法首先优选窗宽σ产生较好的核密度估计结果，然后以密度函数的局部极大值点为聚类中心形成数据的初始划分，最后根据密度函数的鞍点递归合并初始聚类产生不同层次的划分模式。理论分析和仿真实验结果显示，该算法能够发现任意形状、大小和密度的聚类，能够有效处理噪声数据，而且聚类结果不依赖于用户参数的仔细选择。     

基于加权双质心支持向量聚类的机群编队分组

针对机群编队分组问题,提出了一种加权双质心支持向量聚类算法。所提算法在支持向量训练时引入最大熵原理,快速求解Lagrange乘子;针对样本特征对聚类结果的贡献不同,在聚类标识过程中,引入加权密度质心,提出了加权双质心聚类标识,并在典型数据集上验证了所提算法的有效性。通过对机群编队分组模型的描述,建立了机群聚类时一个目标点需要的特征集,完成了编队分组的仿真实验。仿真结果表明了所提算法能够针对应用的具体样本集实行快速聚类分析,并保证聚类结果的有效性。     

基于复合神经网络的数据分布模式仿真识别

采用复合结构神经网络对数据概率分布模式进行了仿真识别。首先提取数据的样本峰度、偏度、分位数和累积概率等数字特征 ,构建数据概率分布模式和仿真识别训练样本 ,然后采用Kohonen网络对概率分布进行聚类 ,接着运用BP网络对各聚类分别进行分类识别 ,最后对任意数据流进行了仿真识别。仿真识别结果表明 ,同其它模式识别方法相比 ,该方法更能够反映数据流概率分布的特征 ,从而得到了满意的模式识别效果。     

基于遗传算法的区间数核模糊聚类方法

针对现有区间数聚类算法对多种聚类模式以及不对称数据聚类性能不理想的问题,本文提出了一种基于核方法的区间数模糊聚类算法.该方法通过设计合适的核函数,有效地对非对称数据以及混合模式原型的数据结构进行聚类,同时避免了直接在高维特征空间求解聚类问题.本文采用区间数遗传算法来求取高度非凸聚类优化问题得到聚类问题的全局最优解.仿真实例说明了本文算法的有效性.     

自适应特征熵权模糊C均值聚类算法的研究

特征权重算法对聚类效果有很大的影响,而传统的特征权重算法忽略了特征项在类间和类内的分布情况.因此,研究聚类后样本特征属性表现的有序性程度对聚类结果的影响,分析聚类后样本特征属性的分布情况,提出了一种自适应特征熵权模糊C均值聚类算法.该算法以聚类后的特征熵和信息增益作为准则调整特征权值,通过聚类与权重更新逐步迭代优化,直至获得最优的特征权值.实验表明,自适应特征熵权模糊C均值聚类算法能够有效地区分各个特征属性对聚类效果的重要程度;较于其它加权模糊C均值聚类算法,该算法能够得到更高的聚类准确率.     

非均匀类簇密度聚类的多粒度自学习算法

针对非均匀类簇密度聚类问题,从商空间粒度理论出发,提出一种多粒度自学习聚类算法 (multi-granularity self learning clustering algorithm, MSCA)。算法通过构造聚合树结构和定义粒度函数对问题逐层求解,并在每层聚合过程中根据聚合区间以自学习的方式动态确定聚合粒度,解决了传统聚类算法从非均匀类簇密度数据中无法得到不同层次的聚合特征且参数对经验依赖性过高的问题。理论和实验表明,MSCA算法可以发现任意形状类簇,有效处理噪声,并能发现关键聚合层,具有较好的计算复杂性。     

一种基于自组织特征映射网络的聚类方法

针对传统聚类算法不能有效地处理大数据集和高维数据集的问题,提出了一种基于自组织特征映射网络的聚类方法。该方法能将任意维输入模式在输出层映射成一维或二维离散图形,并保持其拓扑结构不变,而且无需监督,能自动对输入模式进行聚类。给出了应用该方法的具体步骤和加速自组织过程的若干改进方法,通过仿真实验证明该算法的有效性。     

基于客观聚类的手写数字识别方法

针对现有手写数字识别方法对噪声和图像结构敏感,易导致识别准确度下降,且计算过程复杂的问题,引入客观聚类算法并结合模板匹配机制,通过对待识别数字模板集的一次聚类以降低噪声和数据分布对聚类结果的影响,提高了识别结果的准确性;并利用新聚类中心约简原始模板数据集,实现计算效率的提高。通过对随机手写数字在结构变形和添加噪声等情况下仿真,并与传统手写数字识别方法比较,验证了所提方法的简单易行和有效性。     

一种基于改进的免疫克隆选择的优化方法

通过在克隆选择过程中引入聚类竞争机制,提出了一种免疫聚类竞争的克隆选择算法.采用了抗体聚类、竞争扩增、克隆删除、体细胞高频变异、抗体循环补充等思想及相关算子操作,增强聚类族中的优秀个体获得克隆扩增实现亲和力成熟的机会,提高抗体群分布的多样性,在深度搜索和广度寻优之间取得了平衡.实验仿真及应用结果表明:该算法具有可靠的全局收敛性及较快的收敛速度,将其应用于冶金过程目标优化中取得较好的效果.     

The 12th International Conference on Service Systems and Service Management ICSSSM'15

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Enterprise resource planning implementation decision & optimization models

To study the uncertain optimization problems on implementation schedule, time-cost trade-off and quality in enterprise resource planning (ERP) implementation, combined with program evaluation and review technique (PERT), some optimization models are proposed, which include the implementation schedule model, the timecost trade-off model, the quality model, and the implementation time-cost-quality synthetic optimization model. A PERT-embedded genetic algorithm (GA) based on stochastic simulation technique is introduced to the optimization models solution. Finally, an example is presented to show that the models and algorithm are reasonable and effective, which can offer a reliable quantitative decision method for ERP implementation.     

A calculus for services innovation

Innovation in the services area - especially in the electronic services （e-services） domain - can be systematically developed by first considering the strategic drivers and foci, then the tactical principles and enablers, and finally the operational decision attributes, all of which constitute a process or calculus of services innovation. More specifically, there are four customer drivers （i.e., collaboration, customization, integration and adaptation）, three business foci （i.e., creation-focused, solution-focused and competition-focused）, six business principles （i.e., reconstruct market boundaries, focus on the big picture not numbers, reach beyond existing demand, get strategic sequence right, overcome organizational hurdles and build execution into strategy）, eight technical enablers （i.e., software algorithms, automation, telecommunication, collaboration, standardization, customization, organization, and globalization）, and six attributes of decision informatics （i.e., decision-driven, information-based, real-time, continuously-adaptive, customer-centric and computationally-intensive）. It should be noted that the four customer drivers are all directed at empowering the individual - that is, at recognizing that the individual can, respectively, contribute in a collaborative situation, receive customized or personalized attention, access an integrated system or process, and obtain adaptive real-time or just-in-time input. The developed process or calculus serves to identify the potential white spaces or blue oceans for innovation. In addition to expanding on current innovations in services and related experiences, white spaces are identified for possible future innovations; they include those that can mitigate the unforeseen consequences or abuses of earlier innovations, safeguard our rights to privacy, protect us from the always-on, interconnected world, provide us with an authoritative search engine, and generate a GDP metric that can adequately measure the growing knowledge economy,     

THE 8~(th) INTERNATIONAL CONGRESS ON INDUSTRIAL AND APPLIED MATHEMATICS

正August 10-14,2015Beijing,China The International Congress on Industrial and Applied Mathematics(IClAM)is the premier international congress in the field ofapplied mathematics held every four years under the auspices ofthe International Council for Industrial and Applied Mathematics.From August 10 to 14,2015,mathematicians,scientists and entrepreneurs fiom around the world will gather in Beijing,China for the 8th IClAM to be held at     

论生物系统中的功能不守恒性

根据能量守恒定律，能量一次转换所做的总功应等于输入的总能量。但在生物系统中，能量的转换是多次的，其总功之和大于系统输入的总能量，此现象称之为功能不守恒性。能量转换效率越高，功能差别越大。能量通过细胞水平的多次转换，总功可提高至2倍左右。能量通过生态系统水平多次转换，总功可提高至1．4倍左右。通过系统内各子系统能流之和称为序能，反映了系统有序性大小，它取决于系统输入总能量和能量转换效率。根据序能原理，用GDP^2／9(GDP为国内生产总值，Q为能量总输入)反映人类社会功能和效率，要比单纯用GDP更客观。绿色GDP应同时考虑使GDP^2／Q增长最大和使自然生态系统的序能最大。人的经济行为和动物的行为对策也符合序能原理。     

Dealing with Human Relations in Chinese Systems Practice

This paper is about the Wuli, Shili, Renli (WSR) systems methodology. An important concept within this, Renli, has been developed from Confucian philosophy to clarify to Chinese researchers the necessity of dealing with human relations in systems practice. At present, the only formal means of operationalizing Renli that people are exploring in China is to import from the West methods for organizing debate. However, the concept of Renli suggests that more is needed than methods alone. In particular, facilitation skills are required. It is argued that the development of facilitation skills can be enhanced if researchers can gain both theoretical and practical knowledge of group dynamics, and engage in activities of self-reflection to look at, and alter, their own roles in these dynamics and the wider sociopolitical system. There are therefore three aspects to Renli: the use of systems methods for organizing debate, the acquisition of facilitation skills, and self-reflection geared toward the development of facilitation skills and enhanced critical awareness of the politics of intervention.     

云环境中邮件服务器面向传输的优化设计

随着云计算的发展,新的应用不断涌现,但电子邮件服务依然占有着重要的地位.邮件服务器是一种I/O密集的应用.在云计算时代,越来越多的用户邮件保存在服务器端,邮件在从客户端传输到服务器端之前,邮件或者邮件的部分内容在服务器端可能已经存在.基于这种现象,提出了一种方案,通过引入计算的代价来降低通信量,从而提高邮件服务器的处理能力.对电子邮件的格式和SMTP协议进行了扩充,引入了附件和正文分离传输的模式.在邮件传输时,客户端先计算附件的散列值,并作为正文的一部分传输到服务器端,服务器端再根据散列值来判断附件是否需要传输.     

金工工艺的优化设计

运用价值工程与运筹工程理论, 在金工工艺单项设计指标优化的基础上, 对其设计指标也进行了全面优化。     

THE 8~(th) INTERNATIONAL CONGRESS ON INDUSTRIAL AND APPLIED MATHEMATICS

正August 10-14,2015Beijing,ChinaThe International Congress on Industrial and Applied Mathematics(ICIAM)is the premier international congress in the field of applied mathematics held every four years under the auspices of the International Council for Industrial and Applied Mathematics.From August 10 to 14,2015,mathematicians,scientists