• DocumentCode
    1579946
  • Title

    Artificial neural networks in weather forecasting

  • Author

    DIyankov, Oleg V. ; Lykov, Vladimir A. ; Terekhoff, Serge A.

  • Author_Institution
    Russian Inst. of Tech. Phys., Russia
  • fYear
    1992
  • Firstpage
    829
  • Abstract
    A method of statistical weather forecasting using databases of meteorological information is presented. The authors propose a special technique for constructing the learning set of images which represent the actual data. Forecasting of forthcoming weather events is based on the recognition of known data images using artificial neural networks and metric methods. Significant probabilities of true forecasting (up to 91%) on different data sets have been achieved
  • Keywords
    geophysics computing; learning (artificial intelligence); neural nets; visual databases; weather forecasting; artificial neural networks; databases; images; learning set; meteorological information; metric methods; probabilities; statistical weather forecasting; Artificial neural networks; Data mining; Image recognition; Intelligent networks; Physics; Stochastic processes; Weather forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268635
  • Filename
    268635