Title :
Research on BP network for predicting the evolution of shoal in river
Author_Institution :
Dept. of Comput. Sci., Xinzhou Teachers Univ., Xinzhou, China
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583140
