Surface Water Quality Evaluation Using BP and RBF Neural Network
Abstract
Keywords
References
[1]Chen T,Chen H. Approximation capability to functions of several variables, nonlinear functions and operator by radial basis function neural network[J].IEEE Trans on neural networks,1995,(6)
[2]Martin T. Hagan, Howard B. Demuth, Mark H. Beale, Neural network design, China Machine Press, Beijing, 2004.
[3]L.M. Zhao, H.Y. Hu, D.H. Wei, S.Q. Wang, Multilayer forward artificial neural network, Yellow River Conservancy Press, Zhengzhou, 1999.
[4]Fu Yongfeng, Zhang jian, Luo Guangming. Application of BP network to groundwater quality evaluation[J].Journal of Northwest Sci-Tech University Agri. And Fore., 2004,32(11):129-132.
[5]Luo Dinggui, Guo Qing, Wang Xuejun. Neural network model design of surface water environmental quality assessment[J]. Geography and Geo-Information Science, 2003,19(5): 77-81 (in Chinese)
[6]Zhu Changjun, Li wenyao, Zhang pu. Application of Artificial Neural network in water environment quality assessment[J].Industrial Safety and Environmental Protection,2005,31(2):27-29.
[7] X. Yuan, H. Li, S. Liu, and G. Cui, Nerve network and heredity algorithm in water scientific domain application, Water Power Press Beijing, China, pp. 15-16. 2002.
[8]Feisi Research and Development Center of Science and Technology, MATAB 6.5 auxiliary neural network analysis and design, Electronics industry press, Beijing, 2003.
[9]X.P. Cao, C.H. Hu, “Fault prediction for inertial device based on LMBP neural network”, Electronics Optic and Control, 2005, 12(6), pp. 38-41
[10]Cheng Wanli, Li Yifang, Hao Fuqin. The Evaluation of Water Quality of Sanmenxia Reach Based on Fuzzy Math [J].Environmental Science and management, 2007,32(10):188-190
Full Text: PDF