• DocumentCode
    724047
  • Title

    An optimization design of knowledge reasoning machine based on the binary tree

  • Author

    Wang Cheng Yun ; Wu Shan Ming ; Chen Chu Xiang ; Zhou Chun Hua

  • Author_Institution
    Coll. of Sci. Inf. Eng., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1388
  • Lastpage
    1391
  • Abstract
    Reasoning machine is the core of production expert system, and the design of reasoning machine will largely influence the quality of expert system. This paper proposes a new algorithm, which converts knowledge tree into a binary tree. The algorithm will simplify the storage structure and the logical structure of knowledge tree. therefore, it will reduce the pretreatment of the work before the tree of knowledge storage, and prove the feasibility of the algorithm through simulation.
  • Keywords
    expert systems; inference mechanisms; trees (mathematics); binary tree; expert system quality; knowledge reasoning machine; knowledge storage; logical structure; optimization design; production expert system; storage structure; Algorithm design and analysis; Binary trees; Cognition; Electronic mail; Expert systems; Knowledge engineering; Optimization; Binary tree; Depth search; Recursive function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162135
  • Filename
    7162135