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
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;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.139
