• DocumentCode
    527585
  • Title

    The oil transmission station operational guidance calculation algorithm based on Hopfield neural network

  • Author

    Gao Weixin ; Nan, Tang ; Yaping, Li ; Huade, Zhang

  • Author_Institution
    Sch. of Electr. Eng., Xi´´an Shiyou Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    716
  • Lastpage
    719
  • Abstract
    This paper proposes a connected graph for describing the technology flow of the oil transmission station. By classifying the nodes of the connected graph, the problem of deciding the operation procedures for a specific scheduled task can be translated to the problem of calculating a radial sub-graph of the connected graph. We present a mathematical model for oil transmission station optimal operation based on the connected graph. And we put forward Hopfield neural network for calculating the model. The energy function is also given in the paper. Real calculation shows that the method presented is practical.
  • Keywords
    Hopfield neural nets; graph theory; oil technology; scheduling; Hopfield neural network; connected graph; energy function; mathematical model; oil transmission station; operational guidance calculation algorithm; optimal operation; radial subgraph; scheduled task; technology flow; Geometry; Mathematical model; Petroleum; Pipelines; Schedules; Substations; Valves; Graph theory; Neural network; Oil transmission substation; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583285
  • Filename
    5583285