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《Industrial Safety and Dust Control》 2005-02
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Application of Artificial Neural Network in Water Environmental Quality Assessment

Zhu Changjun Li Wenyao Zhang Pu (Dept.of Urban Construction,Hebei University of Engineering Handan,Hebei 056038)  
A RBF(Radial Basis Function) neural network model for water quality assessment of Fuyang River is set up by applying artificial neural network theory and method,by which water quality of 7 sections of Fuyang River is evaluated and the results are compared to gray clustering method.The result indicates that RBF neural network model can well resolve complicated nonlinear relation between evaluation gene and water quality grade,and the method is convenient,reliable and precise,so it can be used commonly and objectively.And according to the results of evaluation,contamination degrees of Fuyang River are analyzed,which can offer preventive measures for water environmental protection.
【CateGory Index】: X824
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