Water quality evaluation of nearshore area using artificial neural network model
In this paper, a water quality evaluation model of nearshore (Dalian Bay) is built through artificial neural network based on the analysis of history information and monitoring data. In which a back propagation (BP) network is used. A hierarchical prediction model is established according to water quality at different period. Results illustrates the methodology is practicable and can be provided scientific proof for water quality evaluation and prevention of Dalian Bay. The method does not demand datas rules and has the characteristic of impersonality, credibility and highly inaccuracy permission. At the same time the predictive relative error is little.
water quality evaluation Dalian Bay artificial neural network
Li Ying Zhou Jiti Wang Xiangrui Zhou Xiaohui
School of Environmental & Biological Science & Technology Dalian University of Technology,Dalian,Chi School of Environmental & Biological Science & Technology Dalian University of Technology,Dalian,Chi School of Environmental and Chemical Engineering Dalian Jiaotong University Dalian,China
国际会议
北京
英文
1-4
2009-06-11(万方平台首次上网日期,不代表论文的发表时间)