• DocumentCode
    1594323
  • Title

    The Design of a Test Expert System for the Network Artificial Chamber

  • Author

    Liu Yinghui

  • Author_Institution
    Hunan Univ. of Technol., Zhuzhou, China
  • fYear
    2012
  • Firstpage
    576
  • Lastpage
    578
  • Abstract
    For a expert system, how to improve testing accuracy is a key question. In order to weed out all parameters´ blunder error, the expert system used data mining based on genetic algorithm, so According to one parameter´s changing we can predict the other parameter´s variation trend. This expert system can effectively improve test accuracy of artificial chamber.
  • Keywords
    automatic test equipment; data mining; expert systems; genetic algorithms; data mining; genetic algorithm; network artificial chamber; parameter variation; test expert system; testing accuracy; Accuracy; Data mining; Expert systems; Genetic algorithms; Monitoring; Temperature distribution; Testing; artificial chamber; blunder error; data mining; expert system; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.723
  • Filename
    6173272
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1594323