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
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.94
