DocumentCode
2448561
Title
ANN-based Surface Water Quality Evaluation Model and its Application in Suzhou River
Author
Zhu, Changjun ; Hao, Zhenchun
Author_Institution
Coll. of Urban Constr., Hebei Univ. of Eng., Handan, China
fYear
2009
fDate
25-26 April 2009
Firstpage
159
Lastpage
162
Abstract
In view of the deficiency of the traditional methods, a BP neural network model is proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 20 sections in Suzhou river. The evaluation result was compared with that of the RBF neural network method and the reported results in Suzhou river. It indicated that the performance of proposed neural network model is practically feasible in tha application of water quality assessment and its operation is simple.
Keywords
backpropagation; radial basis function networks; rivers; water quality; ANN; BP neural network; RBF neural network; Suzhou river; artificial neural network; surface water quality evaluation; Artificial neural networks; Educational institutions; Hydrology; Mathematical model; Neural networks; Neurons; Quality assessment; Rivers; Water pollution; Water resources; RBF neural network; evaluation; water quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.94
Filename
5158964
Link To Document