Application of BP on Hydrological Forecast Model

Article Preview

Abstract:

In order to study the feasibility and practicality, the hydrological forecasting model are established respectively by the traditional method and the new methods, BP network and projection pursuit. The result shows that the accuracy of the BP model is within 10%, has better forecasting effect and more practical value than the others.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

883-886

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Jang J S R. ANFIS: Adaptive-network-based fuzzy inference system [J]. IEEE Transactions on System, Man and Cybernetics, 2011, 23(3): 665-685.

DOI: 10.1109/21.256541

Google Scholar

[2] Ben Zhang, etc. Research on Poyang Lake[M]. Shanghai: Shanghai technology press, (2008).

Google Scholar

[3] Zhixing zhang, chunzai sun, sunguyinger, etc. neuron fuzzy and soft computing[M]. xi'an: Xi'an Communication University press, (2010).

Google Scholar

[4] Xi-xia Ma, Xiaoju HE, daochuan Zhao. BP Network hidden layer on the water quality impact analysis results of the evaluation [J]. Hydroelectric Energy, 2012, 20 (3).

Google Scholar

[5] Wensheng Wang, Jing Ding, Yueqing Li. Hydrological wavelet analysis [M]. Beijing: Chemical Industry Publishing House, (2005).

Google Scholar

[6] Xixia Ma, Haoze Mu, Huifang Guo. Reservoir Monthly Runoff Forecast Model Based on Wavelet-ANFIS Analysis[J]. Hydroelectric Energy, 2008, (1).

Google Scholar