Journal of Zhejiang University-SCIENCE A

, Volume 8, Issue 9, pp 1482–1487

Water quality forecast through application of BP neural network at Yuqiao reservoir

  • Zhao Ying 
  • Nan Jun 
  • Cui Fu-yi 
  • Guo Liang 
Article

DOI: 10.1631/jzus.2007.A1482

Cite this article as:
Zhao, Y., Nan, J., Cui, F. et al. J. Zhejiang Univ. - Sci. A (2007) 8: 1482. doi:10.1631/jzus.2007.A1482

Abstract

This paper deals with the study of a water quality forecast model through application of BP neural network technique and GUI (Graphical User Interfaces) function of MATLAB at Yuqiao reservoir in Tianjin. To overcome the shortcomings of traditional BP algorithm as being slow to converge and easy to reach extreme minimum value, the model adopts LM (Levenberg-Marquardt) algorithm to achieve a higher speed and a lower error rate. When factors affecting the study object are identified, the reservoir’s 2005 measured values are used as sample data to test the model. The number of neurons and the type of transfer functions in the hidden layer of the neural network are changed from time to time to achieve the best forecast results. Through simulation testing the model shows high efficiency in forecasting the water quality of the reservoir.

Key words

Water quality forecast BP neural network MATLAB Graphical User Interfaces (GUI) 

CLC number

TU991 

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Zhao Ying 
    • 1
  • Nan Jun 
    • 1
  • Cui Fu-yi 
    • 1
  • Guo Liang 
    • 1
  1. 1.School of Municipal and Environmental EngineeringHarbin Institute of TechnologyHarbinChina

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