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
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