• DocumentCode
    519485
  • Title

    Neural Network Non-linear Combination Forecasting Method and Its Application

  • Author

    Ping, Hu

  • Author_Institution
    Coll. of Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    This paper adopted the artificial neural network, and also introduced the combination forecasting theory, established non-linear combination forecasting model based on artificial neural networks for hydrological time series forecasting. Though practical case calculating, and using the relevant evaluation index to analysis predict results, the results showed that non-linear combination forecasting method based on artificial neural network achieved better results than the original individual forecasting method.
  • Keywords
    Application software; Arithmetic; Artificial neural networks; Computer networks; Educational institutions; Network topology; Neural networks; Predictive models; Supervised learning; BP algorithm; Evaluation index; combination forecasting theory; flood; forecasting; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.118
  • Filename
    5493337