Journal of Hydrodynamics

, Volume 18, Issue 1, pp 517–521 | Cite as

Study on improved BP artificial neural networks in eutrophication assessment of China eastern lakes

  • Yaping Jiang
  • Zuxin Xu
  • Hailong Yin
Session B8


An improved back propagation artificial neural network model for eutrophication evaluation of China eastern was constructed, and a new approach producing training set data, testing set data and critical values set data distributed a normal distribution between the critical values was established. The model was applied to 4 eastern lakes and the results shows that the method is suitable for eutrophication assessment of lakes.

Key words

eutrophication artificial neural network lake assessment 


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Copyright information

© China Ship Scientific Research Center 2006

Authors and Affiliations

  1. 1.College of Environmental Science and EngineeringTongji UniversityShanghaiChina

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