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Volume 19 Issue 2
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TANG Hong-wu, LEI Yan, GU Zheng-hua. Intelligence simulation technique for river net flow and its application[J]. Advances in Water Science, 2008, 19(2): 232-237.
Citation: TANG Hong-wu, LEI Yan, GU Zheng-hua. Intelligence simulation technique for river net flow and its application[J]. Advances in Water Science, 2008, 19(2): 232-237.
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Intelligence simulation technique for river net flow and its application

  • 1.

    State Key Labratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

  • 2.

    College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;

  • 3.

    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310028, China

Funds: The study is financially supported by the National Natural Science Foundation of China(No.50479068).
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  • Received Date: May 15, 2007
    Graphical Abstract
    • Abstract
  • Considering the lack of the sufficient measured data of the cities' river net and unsat is factory simulation speed of the hydrodynamic model,an intelligence model for river net is presented in this paper combining the hydrodynamic model with genetic algorithm and artificial neural networks. The information is supplied by the hydrodynamic model and the original weights of artificial neural networks are optimized by the genetic algorithm. The model is used to simulate the river net of Pudong New District in Shanghai Sound agreement is obtained between the results of intelligence model and those of hydrody namic model. It shows that the accuracy of intelligence model for river net is close to that of the numerical model,and the in telligence model has an advantage of good real time performanc. It provides a good technique for forecasting water level and the similar problems.
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    • References (16)
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