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knowledge processing造句

"knowledge processing"是什么意思   

例句与造句

  1. Knowledge process of consulting industry from the perspective of knowledge intensive business service
    知识密集型服务业视角下咨询业的知识过程
  2. A typed category theory is proposed for the abstract description of knowledge and knowledge processing
    为了兼顾知识的语义,我们引进类型的概念,提出带类型范畴论。
  3. Practice indicates that decision support systems can supply more effective support when decision support systems have abundant knowledge and strong knowledge process ability
    实践表明,只有当决策支持系统具有较丰富的知识和较强的知识处理能力时,才能向决策者提供更为有效的决策支持。
  4. Based on this , we construct a tri - dimensional strategic model framework vision - knowledge process - knowledge worker , and the knowledge avantage is the core concept of the model
    同时,由于核心竞争力及其一些相近概念有其局限性,笔者首次定义了一种能重新解释这个问题的知识优势力概念。
  5. As to the product design , from the view of knowledge processing , the methods of intelligent design are researched ; the main technologies and their implementation are also researched ; 2
    在产品设计中从知识处理的角度研究了智能化设计的方法,进而研究了智能化设计中的主要技术及其实现; 2
  6. It's difficult to find knowledge processing in a sentence. 用knowledge processing造句挺难的
  7. In the paper the principle of on - line automatic identification system of plant condition is studied appling the self - organization network and topography search method in knowledge processing
    摘要本文应用自组织特徵映照模型,以知识处理中的地势搜索原理为出发点,研究并提出了在线式设备状态自动识别系统的工作原理。
  8. The formalization of aesthetics feeling , value direction is also adapt to knowledge process of product design which is a field full of fuzzy , uncertain , dynamic and changing information . the paper also builds a web - based opening learning environment
    并构建了基于internet的开放学习环境,研究了人脑模型与学习环境融合、设计师与学习环境融合的人机伴随工作模式。
  9. This thesis in the background of science literature information process , investigates the text categorization techniques based - on fuzzy knowledge process both in theory and application deeply , and the main works is as follows : 1
    本文以科技文献信息处理为背景,从理论和应用的角度对基于模糊知识处理的文本分类技术进行了较为深入的研究,主要工作总结如下: 1
  10. Also , tckm will support the development and execution of km systems with high performance from two dimensions : constructing shared understanding foundation , promoting the open evolution of om ( organization memory ) , and in two levels : knowledge process and knowledge meta - process
    并从两维:构建共享的理解基础、促进om (组织记忆)的开放性进化;分二个层次:知识过程和知识元过程,支持高性能km系统的开发和运行。
  11. Many experiences show that lots of practical classification cannot give the precise result that one object belong to one class , while only give the probability of one object belong to one class . so we can apply the fuzzy knowledge process technology to the field of text categorization , and we can get more precise classification results by using appropriate fuzzy
    并且实际经验告诉我们,很多实际分类问题往往不好精确地确定某个对象属于某个类,而只能给出某个对象属于某个类的可能性有多大,因此将模糊知识处理的理论技术应用到文本分类的领域中,利用适当的模糊反而可以达到更精确的分类结果。
  12. Teachers in the past put much time and many efforts in the * so - called " exercises sea tactics " , but students still can not achieve good ideation as well as the examination results . , in the recent years , thanks to the recognition of the agile and integrative application of the basic knowledge as the college entrance examination focuses closely on the general outline of the texts , teachers hence have an opportunity to pay much attention to working over the texts , laying solid foundation and fostering ability for the students . this article describes , through teaching practice , mainly on how to " press close to the texts while insist on necessary versatility " , it includes : 1 . design the scene of the question so as to introduce the topic , emphasis on the knowledge process
    这篇文章主要通过一些教学实践谈谈如何“贴近课本,有所变通” ,主要从如下几个方面进行阐述: ( 1 )设计问题情境引入课题,注重展示知识的形成过程( 2 )注重变式教学,挖掘课本中例题、习题的内涵,或将原例题中的条件或结论改变一下,使之成为一个新例题;或将教材中的一些例题、习题改编为_些开放题进行教学,培养学生的创新能力和创新精神;或对课本例题、习题的解法来一个拓宽,探索其多解性( 3 )重视课本知识的归纳,培养学生的概括能力( 4 )将课本中的数学问题与生活中的实际问题联系起来,强调数学的应用( 5 )在讲解例、习题的过程中,融入数学史和数学的美学知识,激发学生的学习兴趣。
  13. The research of this paper is spread out mainly around 5 aspects : ( 1 ) the description of xmarc information theory system based on xml under network environment ; ( 2 ) the advanced design of field xmarc metadata ; ( 3 ) the foundation of k - s - c special knowledge relation by the identification " keyword + subject + category " ; ( 4 ) the establishment of xmarc theme knowledge automatic indexing and its algorithms ; ( 5 ) the research on knowledge processing method of concept retrieval and the theme classification based on xmarc
    本文主要的工作是围绕五个方面展开的:建立网络环境下基于xml的xmarc信息描述理论体系,比较设计领域的xmarc元数据,构建以“关键词+主题词+范畴号”标识的知识关系k - s - c ( keyword - subject - category ) ,建立xmarc主题知识的标引方摘要法及其算法,提出xmarc主题知识的分类与词句概念检索方法。
  14. With the popularize and application of computer and internet , from data processing , information processing to knowledge processing , the need of deepness and extent for language character processing is more and more high . people consider that a country ’ s information processing level and quantity represents his degree to enter information society basically . the processing ability on language character information is directly relation to the international competition ability in network society and network economy
    随着计算机和因特网的推广应用,由数据处理、信息处理发展到知识处理,对语言文字处理要求的深度和广度越来越高,可以认为一个国家的语言文字的信息处理水平和处理量基本上代表了这个国家进入信息社会的程度,其语言文字信息的处理能力直接关系到它在网络社会和网络经济中的国际竞争能力。
  15. Not being the prefect models of the human neural networks , anns can be widely used to obtain new knowledge from data . therefore , anns can solve some difficult problems , such as speech / image recognition and comprehension , knowledge processing , combinational optimization , intelligent control
    尽管它还不是大脑的完美无缺的模型,但它可以通过学习来获取外部的知识并存储在网络内,可以解决计算机不易处理的难题,特别是语音和图像识别、理解、知识的处理、组合优化计算和智能控制等一系列本质上非计算的问题。

相邻词汇

  1. "knowledge practitioner"造句
  2. "knowledge presentation technique"造句
  3. "knowledge preservation"造句
  4. "knowledge principle"造句
  5. "knowledge process outsourcing"造句
  6. "knowledge processing machine"造句
  7. "knowledge processing system"造句
  8. "knowledge product"造句
  9. "knowledge production"造句
  10. "knowledge professional"造句
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Last modified time:Sun, 17 Aug 2025 00:29:56 GMT