ANN based on PSO for Surface Water Quality Evaluation Model and Its Application
In view of the deficiency of the traditional methods, according to the analysis of surface water in Suzhou city, a BP neural network model is proposed to evaluate water quality. Firstly The present situation and changing trends of surface water are analyzed. The structure of BP model is described and the choice of hidden layer is also optimized. Finally, the proposed model was applied to evaluate the surface water quality in Suzhou city. BP neural network is trained using PSO.The evaluation result was compared with that of the BP neural network method without training by PSO and the reported results. 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.
water quality BP neural network PSO evaluation
Changjun Zhu Xiujuan Zhao Jihong Zhou
College of Urban Construction, Hebei University of Engineering, Handan, 056038,China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3264-3268
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）