doi: 10.4304/jsw.6.12.2528-2534
Surface Water Quality Evaluation Using BP and RBF Neural Network
2College of Urban Construction, Hebei University of Engineering, Handan, 056038, China
Abstract—It is very important to evaluate water quality in environment protection. Water environment is a complicated system, traditional methods cannot meet the demands of water environment protection. In view of the deficiency of the traditional methods, a BP neural network model and a RBF neural network model are proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 10 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 the application of water quality assessment and its operation is simple.
Index Terms—water quality;RBF neural network; BP neural network; evaluation
Cite: Qinghua Luan, Changjun Zhu, "Surface Water Quality Evaluation Using BP and RBF Neural Network," Journal of Software vol. 6, no. 12, pp. 2528-2534, 2011.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
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