DocumentCode
527526
Title
Research on BP network for predicting the evolution of shoal in river
Author
Hu, Zhijun
Author_Institution
Dept. of Comput. Sci., Xinzhou Teachers Univ., Xinzhou, China
Volume
2
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
531
Lastpage
533
Abstract
A back propagation (BP) network model for predicting the evolution of shoal in a river is established based on MATLAB by analyzing the factors influencing the shoal evolution. The result shows the feasibility of the predictive model. An example shows that the agreement between calculation and prototype is good.
Keywords
backpropagation; geophysics computing; neural nets; rivers; BP network; MATLAB; backpropagation network model; river; shoal evolution; Algorithm design and analysis; Artificial neural networks; Mathematical model; Neurons; Predictive models; Rivers; Training; BP Neural Network; Neural Network toolbox; Nonlinear Mapping Capability;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583140
Filename
5583140
Link To Document