DocumentCode
3269954
Title
RBF Algorithm and its Application in Multi-Reach Water Quality Simulation
Author
Changjun Zhu ; Zhao, Xiujuan
Author_Institution
Coll. of Urban Constr., Hebei Univ. of Eng., Handan, China
Volume
2
fYear
2009
fDate
6-7 June 2009
Firstpage
510
Lastpage
512
Abstract
Based on the theory and method of neural network, and analysis of multi-reach water quality model, a model of RBF water quality model was presented, the model was trained and examined with the data of water quality of Fuyang river in Handan city. The results indicate that the model is more accurate than traditional model and is feasible for water quality simulation.
Keywords
environmental science computing; radial basis function networks; river pollution; RBF water quality model; multireach water quality simulation; neural network; radial basis function network; Analytical models; Artificial neural networks; Board of Directors; Computational intelligence; Computer networks; Integral equations; Neural networks; Numerical simulation; Rivers; Water pollution; RBF algorithm; multi-reach river; neural network; water quality simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3645-3
Type
conf
DOI
10.1109/CINC.2009.139
Filename
5231288
Link To Document