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modeling knowledge meaning in English

模拟知识

Examples

  1. 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。
  2. 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。
  3. 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。
  4. ( 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。
  5. 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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Related Words

  1. carnal knowledge
  2. elementary knowledge
  3. explicit knowledge
  4. self knowledge
  5. metacognitive knowledge
  6. knowledge acquirer
  7. knowledge ecology
  8. knowledge leadership
  9. knowledge asset
  10. knowledge robot
  11. modeling forum
  12. modeling gradation
  13. modeling language
  14. modeling light
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