• DocumentCode
    3374288
  • Title

    Mining typhoon knowledge with neural networks

  • Author

    Zhou, Zhihua ; Chen, Shifu ; Chen, Zhaoqian

  • fYear
    1999
  • fDate
    1999
  • Firstpage
    325
  • Lastpage
    326
  • Abstract
    Neural network technology has not been fully utilised in data mining. There are two reasons for this. Firstly, most neural algorithms need long-term training, and cannot perform incremental learning. Secondly, the knowledge learned by neural networks is concealed within a large quantity of connections. We have develop a neural network method to mine typhoon knowledge which overcomes those two obstacles. Experimental results show that our method shows considerable promise
  • Keywords
    ART neural nets; data mining; geophysics computing; storms; ART neural nets; FTART; data mining; incremental learning; neural networks; typhoon knowledge; Data mining; Databases; Equations; Feeds; Management training; Neural networks; Resonance; Supervised learning; Typhoons; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-0456-6
  • Type

    conf

  • DOI
    10.1109/TAI.1999.809809
  • Filename
    809809