Abstract
In order to study the dynamic response of riverbed deformation due to the changes of the water and sediment conditions, this article introduces a method of BP neural network to establish mathematic method to predict the riverbed deformation from the two aspects of riverbank deformation and river cross section deformation. The model was trained and verified by the measured data of Shishou bend in Jingjiang River. The model was used to predict the riverbed deformation on section Jing-92 and section Jing-96 on year 2008 after the application of the Three Gorges Reservoir. The results can reflect the evolutionary tendency of riverbed deformation, which show that the model is feasible to be used to predict the riverbed deformation.
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References
Pan, Q.: Sediment Study of the Three Gorges Project. China Water Conservancy and Hydropower Press, Beijing (1999)
Shi, S., Lin, C., Yang, G.: Governing and Exploiting the Water Front Resources at Middle and Lower Reaches of the Yangtze River. Scientia Geographica Sinica 22, 700–704 (2002)
Hu, T.: Neural Network Prediction and Optimization. Dalian Maritime University Press, Dalian (1997)
Zhang, X., Xu, Q., Pei, Y.: Preliminary Research on the BP Networks Forecasting Model of Watershed Runoff and Sediment Yielding. Advances In Water Science 12, 17–22 (2001)
Shang, G., Zhong, L., Chen, L.: Discussion about BP Neural Network Structure and Choice of Samples Training Parameter. Journal of Wuhan University of Technology 19, 108–110 (1997)
Zhang, X., Hu, X., Xie, Z.: Research on BP Network Prediction Model for Diversion Flow of 3 Diversion Outlets of Jingjiang River. Yangtze River 34, 33–34 (2003)
Pan, Q., Lu, J.: Analysis of the Near River Evolution on the Middle Reaches of the Yangtze River. Yangtze River 30, 32–34 (1999)
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© 2009 Springer-Verlag Berlin Heidelberg
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Zhang, Q., Zhang, X., Wu, J. (2009). Research on Dynamic Response of Riverbed Deformation Based on Theory of BP Neural Network. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_92
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DOI: https://doi.org/10.1007/978-3-642-01216-7_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01215-0
Online ISBN: 978-3-642-01216-7
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