doi: 10.4304/jsw.6.12.2528-2534
Surface Water Quality Evaluation Using BP and RBF Neural Network
- 1 College of Water Conservancy and Hydropower，Hebei University of Engineering, Handan, 056038, China
- 2 College 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.
Keywords
- water
- quality;RBF
- neural
- network;
- BP
- neu
How to Cite
Qinghua Luan and Changjun Zhu, "Surface Water Quality Evaluation Using BP and RBF Neural Network," Journal of Software, vol. 6, no. 12, pp. 2528-2534, 2011. https://doi.org/ 10.4304/jsw.6.12.2528-2534
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).