• DocumentCode
    568122
  • Title

    Research on searching and sharing of agricultural product information resources

  • Author

    Duan, Xianhui ; Liu, Xuguang ; Han, Guodong

  • Author_Institution
    Sch. of Literature & Media Transm., Shijiazhuang Univ., Shijiazhuang, China
  • fYear
    2012
  • fDate
    14-17 July 2012
  • Firstpage
    591
  • Lastpage
    594
  • Abstract
    For the variety of present rural information resources are too many, and geographical positions are disperse, which make that the effectiveness and sharing of data organization are low, and the transmission efficiency is low. The paper studies rural information cyber resources management and data optimization deployment techniques which are suitable for China national conditions, and the neural network technology is used to make rural information divide according to the production and circulation process, achieve intelligent acquisition and cooperative work of rural information resources, therefore providing the resource searching and sharing methods. The practice has proved that the research on searching and sharing technology of rural information resources based on neural network technology contributes to the integration of the rural information resources, and lay the foundation for the information development of rural.
  • Keywords
    agricultural products; information resources; information retrieval; neural nets; production engineering computing; China; agricultural product information resources; cooperative work; data optimization deployment techniques; data organization; intelligent acquisition; neural network technology; rural information cyber resources management; Biological neural networks; Information services; Knowledge engineering; Neurons; Production; Semantics; Training; agricultural information; resource retrieval; share;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2012 7th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-0241-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.6295144
  • Filename
    6295144