知识自动化

  • 网络Knowledge Automation
知识自动化知识自动化
  1. 主要阐述了如何利用当今世界上最新发展的KBE技术,来实现汽车后视镜检测的自动化和智能化的理论和方法,并在此基础上开发了一套知识驱动自动化设计的软件平台。

    This paper describes the theory and method about how to use Knowledge Based Engineer-ing ( KBE ), the latest technology in the current world , to realize the automation and intelli-gence of vehicle mirror certification .

  2. 程序语句生成子与知识获取自动化

    An approach to automation of knowledge 's acquisition by the generator of sentences for programming

  3. 2)策略知识的自动化运用是否对提高阅读效果具有更为重要的意义(动态);

    2 ) Is the automatization of strategic knowledge more important to improve reading effects ( dynamic );

  4. 基于知识的自动化系统设计;

    Knowledge-based design automation system ;

  5. 应用结果表明,原型系统具有很高的实用价值,实现了知识驱动自动化。

    The application shows that the prototype system has high practical value , and it realizes knowledge driven automation .

  6. 对于每个要抽取的信息源,DKWI方法利用已构造的领域知识库自动化生成相应的封装器,然后使用这些封装器进行信息抽取。

    This approach applies the domain knowledge to generate the wrappers for online stores , and then use these wrappers to extract information of products .

  7. 该文所提出的知识获取自动化在一定程度上解决了故障数据收集困难的根本问题,同时使获得的知识更完整。

    Automation of KA , to a certain extent , solves the basic problem of hard task of gathering the fault original data , and makes the knowledge acquired more sufficiently .

  8. 另外,CSV练习还需要了解很少的解析理论知识或者将自动化工具应用于任务的需求。

    Otherwise , a CSV exercise requires very little knowledge of parsing theory as such or the need to apply automated tools to the task .

  9. 基于知识表示的自动化立体库智能调度系统优化设计

    An Optimized Design on Intelligent Scheduling System in AS / RS Based on Knowledge

  10. 采用了数据挖掘技术,提出了一个综合算法,从传统数据库中构造范例库,以提高知识获取的自动化程度。

    In this paper , we adopt data mining technique and advance an integrative algorithm which establishs case base from traditional database .

  11. 句法知识提取越自动化对阅读理解的预测作用越大。

    The more implicit syntactic knowledge retrieval syntactic knowledge , the more important role of syntactic knowledge plays in predicting reading comprehension .

  12. 类似于知识发现和自动化的数据挖掘,分析师需要获得访问能力来检索和汇总大数据云环境中的信息。

    Akin to knowledge discovery and automated data mining , analysts need access to retrieve and summarize the information in the big data cloud environment .

  13. 我国在固体火箭发动机推进剂配制和型腔设计方面处于国际领先水平,但制造固体火箭发动机的设备自动化水平不高,工艺装备落后,研制自主知识产权的自动化装备势在必行。

    In the aspects of propellant configuration and cavity design of solid rocket motor , our country is at international leading level . But the equipment automation level of manufacturing solid rocket motor is not high and process equipment is backward .

  14. 为适应不同学习者可能产生的巨大个体学习需求的差异,个性化教学系统结合人工智能技术和自然语言处理方法进行学科领域知识模型的自动化构建,并将该建模方法用于构建学习者概念知识模型。

    To meet different needs of different learners , Individualistic Teaching System tries to realize the auto-construction of Domain Knowledge Model by means of combining the method of Natural Language Processing and Artificial Intelligence techniques and also use this modeling method to build learners ' conceptual knowledge model .

  15. OA不只是人际办公的计算机化,而是融入新的管理方式,融知识管理于办公自动化中。

    OA is not just interpersonal computerized office , but integration of new management methods and knowledge management in office automation .

  16. 本文以贵阳电信分公司办公自动化系统的开发为依托,在第三代办公自动化系统理念的基础上,研究了基于知识管理的办公自动化系统开发原型,给出了一个实际OA系统的设计。

    This paper relys on the development of Guiyang Telecom Company Office Automation System . It studies the OAS prototype based on KM and gives a real system . The system runs in Intranet architecture and in groupware condition of Lotus Notes .

  17. 基于知识管理的办公自动化系统研究

    Research on Office Automation System Based on Knowledge Management

  18. 知识管理的办公自动化与新的管理革命

    Knowledge-based Office Automation and New Revolution of Management

  19. 介绍采用网络技术、统计原理等相关知识在数据处理自动化方面的作用。

    The role of using network technology and statistics principle is introduced in data automatic processing .

  20. 作为机器学习的一种方法,增强学习恰可使知识的获取过程自动化,并扩展所能得到的知识资源范围。

    As one of machine learning , reinforcement learning not only has this function but also can expand the acquisitive resource .

  21. 目前国内企业采用的自动检测设备完全依赖于进口,所以开发具有自主知识产权的高速自动化灌装线检测系统以替代昂贵的进口设备符合我国市场的迫切需求。

    At present the inspection equipments in our country totally dependent on import . Therefore , the design and development of automatic empty bottle inspection system with high speed will meet the urgent demand of our country .

  22. 留学生形旁意识的发展有一个从学习到的知识发展为习得的知识的自动化过程,与二语习得的发展路径有某种类似之处。文章在此基础上提出了若干教学建议。

    The development of meaning radicals awareness was a self-motion process from knowledge learned to knowledge acquired and , to some extent , similar to the development of the second language acquisition .

  23. 本文阐明了知识工程的概念,详细说明了UG的知识驱动自动化方法,该方法包括UG/KF语言的的编制,产品规则的提取和运用,以及可视化工具KF导航器的使用;

    The method of knowledge driven automation in UG is described . This method includes workout of UG / KF language , picking and using product rules , and using of knowledge fusion navigator .

  24. 重点论述了UG中的KBE即KF模块的知识驱动产品开发设计过程及其关键技术,介绍了知识驱动自动化过程,实例剖析了UG中的KF在产品开发设计过程中的应用。

    Discussed the process of product development and key technology of KBE in UG : KF module , introduced the process of knowledge driven automation . The paper researched the process of the application of KF in product development through an example of the development of a flange coupling .

  25. 在总结通过故障仿真获取故障知识的一般过程的基础上,提出完全基于仿真的模拟电路故障知识获取自动化方法,该方法实质上是通过计算机用穷举法自动对所有可能故障进行仿真获取故障知识。

    Based on summarizing the general procedure of knowledge acquisition by fault simulation , a method was proposed , which acquired the analog circuit fault knowledge by simulating all possible faults automatically in computer . This method fully bases on simulation .

  26. 在专家优势行为后面,大量有结构的知识起支配作用,这主要涉及陈述性知识(有组织的知识)和程序性知识(自动化基本技能和特殊领域的策略)。

    Behind the expert performance are structured knowledge , such as declarative knowledge ( organized knowledge ) and procedural knowledge ( automatic basic skill and domain-specific strategic ) .

  27. 并根据不同的业务需求分析不同的专业知识获取过程,探讨知识获取过程中所使用的适合的机器学习技术,以期达到实现医疗保险决策模型知识获取工程自动化的目的。

    According to different business needs , analyses the different process of getting different expertise , and the appropriate machine learning techniques .