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modeling knowledge中文是什么意思

  • 模拟知识

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  • By the model knowledge is expressed as fuzzy membership matrix , it is convenient for use of relation database system and decision of alternative plans
    将加工方案选择知识以模糊隶属度矩阵的形式表达,便于采用关系数据库存储,推理过程通过模糊关系运算实现,便于多加工方案的决策。
  • The strict quality control , lets the ? building not only is lives the stability to need , is the tone poem which the foreman and ? the spirit sublimates , the achievement hundred years great undertaking model knowledge
    严格的品质管制,让建筑不仅是居住安定所需,更是精密科技与时尚艺术的极致结合,成就百年大业的典范知见。
  • We can truly teach the manager a practicality and effective management ways and tools which can be used in the working , find the learning and behavior change quickly by modeling knowledge system and associating the contents
    我们培训的知识体系模型化、内容相互关联呼应,有机结合,真正教会管理者一套实用的、有效的可在工作中使用的管理方法和工具,最快地看到学习和应用的效果!
  • The method adopts a multi - layers and nearest - neighbor strategy based on the attribute - model knowledge reuse degree to match a case , and the rule - based reasoning to accomplish the reuse of the case modeling experience and the revise of modeling result
    该方法使用基于属性建模知识重用度的多层加权最近相邻检索方法实现事例的检索;使用基于规则的推理方法完成旧事例建模经验的复用与建模结果的调整。
  • Through the study of the style of knowledge description , the paper elaborates the numerical model knowledge , the symbolic experience knowledge and the instantial swatch knowledge . these three kinds of different knowledge have been used in loans risk classification in the paper . just as the using of the object oriented technique and the ai ( include es , ann , and the integrated of ann and es ) technique , can the paper realize the five - grade loans risk classification
    本文通过对知识描述形式的研究,表述了经验符号性知识、模型化数量性知识和实例样本性知识三种类型,通过对其行为特征及转换、集成的研究,将这三种异构知识引入贷款风险分类分析;采用面向对象技术和人工智能的es 、 ann两种形式及其结合,实现了贷款风险五级分类。
  • Due to the incompleteness of model library and uncertainty of modeling knowledge , qualitative compositional modeling is a process of " generate and test " during which the composed model must be modified and improved . there are two separate sub - tasks about cm , model composition and model simulation , which communicate with each other through qualitative differential equations ( qde )
    定性模型的特点,决定了定性组合建模是一个需要重复调整和完善的迭代过程,建模与仿真是通过定性微分方程相关联的两个子任务,建模是仿真的基础,仿真是对建模结果的检验。
  • On the analysis of financial affairs in classifying loans risk , bank has large of finance report forms samples . it can make correct judge by calculating various rates and comparing them with other enterprise . so the bank has the numerical model knowledge and the instantial swatch knowledge
    在贷款风险分类的财务因素分析时,银行有着较充足的各行各业的财务报表的样本实例,可以通过计算的各种比率结果及与同行业的比较而对借款人作出正确的判断,因此它具有模型数量性知识和实例样本性知识。
  • From the viewpoint of novel mechanism for model knowledge description , i develop an object - oriented compositional modeling frame ; base on controlling information during modeling , 1 present the relevance - assumption - based algorithms . as to model evaluation , 1 consider qualitative simulation a co - related step as well as model composition during entire qualitative compositional modeling , and implement two simulation algorithms
    从知识描述的角度,提出面向对象的组合建模方法;从建模过程的角度,提出基于模型假设的关联推理算法;从模型检验的角度,将模型的组合与仿真看作是整个定性组合建模体系的两个紧密联系的环节,并实现了相应的定性仿真算法。
  • ( 1 ) for methodological syncretization of emi and km , existing reference architectures ( ras ) do not clearly reflect the level characteristics of enterprise knowledge and its organization and application modes . ( 2 ) for enterprise knowledge capture and application , existing enterprise modeling methods face the dilemma of how to facilitate friendly collaboration and communication between system analysts / developers and enterprise staffs , and how to help system analysts / developers utilize model knowledge to carry out effective quantitative analysis . ( 3 ) for knowledge re - use , it lacks powerful knowledge repository systems for enterprise model re - use and corresponding mechanisms for knowledge extraction , classification and index
    目前国内外关于该方向的研究尚处于起步阶段,有许多问题亟待解决,主要表现在:在企业集成与知识管理的方法论融合方面,现有参考体系结构没有很好地反映出企业知识的层次特征及其组织、应用方式;在企业知识的收集与应用方面,现有企业建模方法在如何促进系统分析设计人员与企业人员进行友好的合作与交流和如何帮助系统分析设计人员利用模型知识进行有效的定量分析这两个问题上存在着矛盾;在知识重用方面,缺乏面向企业模型重用的功能完备的知识库系统及相应的知识提炼和分类检索机制,能够被业界广泛接受的参考模型尚不多见;在建立面向企业集成的基于知识的系统方面,尚没有很好地解决知识的形式化表示问题,缺乏用于描述企业深层知识的形式化建模手段。
  • In this thesis the theory and method of intelligent fault diagnosis for a large turbo - pump fed liquid - propellant rocket engine ( lre ) is innovatively proposed and developed , based on the hybrid reasoning strategy and the hybrid knowledge models including mathematical model , logic model , graphic model and qualitative model . the theory and method are constructed in the way of intelligent modeling technique and creative application of knowledge engineering , and focus on the difficult problems and critical techniques such as the unified treatment of lre knowledge ( experience , facts , rules , graph , system structure , behavior , model knowledge and measured data ) , the integration and translation of qualitative and quantitative knowledge , and the knowledge - based intelligent fault diagnosis reasoning methods . firstly , besides the correlation of different knowledge , the concept and the types of lre diagnosis knowledge are systematically described
    本文以某大型泵压式液体火箭发动机为研究对象,以智能建模技术和知识工程的创造性应用为主要技术手段,围绕着发动机知识(经验、事实、规则、图形、结构、行为、模型知识与测量数据信息等)的统一处理技术、定性定量知识的集成与转化和基于知识的智能故障诊断推理等关键技术和难点,创新地研究发展了发动机基于混合知识模型(数学模型、逻辑模型、图形模型及定性模型)和混合推理策略的智能故障诊断理论和方法。
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