• DocumentCode
    564104
  • Title

    A new forecasting method for peony florescence based on BP network

  • Author

    Wang, Ping ; Xu, Haiyang ; Cui, Wenshan

  • Author_Institution
    Dept. of Sci. & Inf., Qingdao Agric. Univ., Qingdao, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    2280
  • Lastpage
    2283
  • Abstract
    ShanDong Heze International Peony Fair is an important to local development, But peony florescence hardly meets the date of the Fair. How to accurately predict the peony florescence is very urgent. Based on the analysis of the relationship between the peony florescence and the temperature. A prediction model for peony florescence built on the air temperature and soil temperature by BP network. The prediction model was validated by the florescence data in the last 5 years. The maximal error was 4 days. The model could provide the prediction method to determine the date of the Heze International Peony Fair.
  • Keywords
    backpropagation; botany; neural nets; BP network; ShanDong Heze international peony fair; air temperature; forecasting method; peony florescence; soil temperature; Atmospheric modeling; Neurons; Predictive models; Soil; Temperature distribution; Training; BP network; Forecast method; Peony Florescence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223508
  • Filename
    6223508