• DocumentCode
    328856
  • Title

    Tree learning algorithm of neural networks

  • Author

    Hou, Liya ; Zhang, Weiyi ; Watanabe, Kajiro

  • Author_Institution
    Dept. of Syst. Control Eng., Hosei Univ., Tokyo, Japan
  • Volume
    2
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    1143
  • Abstract
    This paper describes the tree learning algorithms, which are based on the structure analysis of the informations of the outward world and neural networks, in detail. The state change over and the learning in sense groups and knowing groups of the neural networks are examined by examples. The results show that the algorithms are reasonable, simple and fast.
  • Keywords
    inference mechanisms; learning (artificial intelligence); neural nets; knowing groups; sense groups; state change over; structure analysis; tree learning algorithm; Algorithm design and analysis; Arithmetic; Artificial neural networks; Control engineering; Electronic learning; Fires; Joining processes; Linear matrix inequalities; Neural networks; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.716740
  • Filename
    716740
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=328856