[1] Li Zhijia, Zhou Yi, Ma Zhenkun,. River channel flood forecasting methodof coupling wavelet neural network with autoregressive model [J]. Journal of Southeast University (English Edition), 2008, 24 (1): 90-94. [doi:10.3969/j.issn.1003-7985.2008.01.020]

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River channel flood forecasting methodof coupling wavelet neural network with autoregressive model()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

24

Issue:

2008 1

Page:

90-94

Research Field:

Other Disciplines

Publishing date:

2008-03-30

Info

Title:

River channel flood forecasting methodof coupling wavelet neural network with autoregressive model

Author(s):

Li Zhijia;  Zhou Yi;  Ma Zhenkun

College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China

Keywords:

river channel flood forecasting;  wavelet neural network;  autoregressive model;  recursive least square(RLS);  adaptive fading factor

PACS:

P338

DOI:

10.3969/j.issn.1003-7985.2008.01.020

Abstract:

Based on analyzing the limitations of the commonly used back-propagation neural network(BPNN), a wavelet neural network(WNN)is adopted as the nonlinear river channel flood forecasting method replacing the BPNN. The WNN has the characteristics of fast convergence and improved capability of nonlinear approximation. For the purpose of adapting the time-varying characteristics of flood routing, the WNN is coupled with an AR real-time correction model.The AR model is utilized to calculate the forecast error.The coefficients of the AR real-time correction model are dynamically updated by an adaptive fading factor recursive least square(RLS)method.The application of the flood forecasting method in the cross section of Xijiang River at Gaoyao shows its effectiveness.

References:

[1] Zhu Xingming, Lu Changna, Wang Ruyun, et al.Artificial neural network model for flood water level forecasting[J].Journal of Hydraulic Engineering, 2005, 36(7):806-811.(in Chinese)
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[6] Stéphane M.A wavelet tour of signal processing[M].Beijing:China Machine Press, 2003.(in Chinese)
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[8] Zhao Xuezhi, Zou Chunhua, Chen Tongjian et al.A research on the initialization of parameters of wavelet neural networks[J].Journal of South China University of Technology:Natural Science Edition, 2003, 31(2):77-79, 84.(in Chinese)
[9] Zhou Yi, Li Zhijia.Research on the application of three improved RLS procedures in real-time flood forecasting[J].Water Power, 2006, 32(8):14-16.(in Chinese)
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Memo

Memo:

Biography: Li Zhijia(1962—), male, doctor, professor, zhijia-li@vip.sina.com.
Foundation item: The National Natural Science Foundation of China(No.50479017).
Citation: Li Zhijia, Zhou Yi, Ma Zhenkun.River channel flood forecasting method of coupling wavelet neural network with autoregressive model[J].Journal of Southeast University(English Edition), 2008, 24(1):90-94.

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