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In view of the deficiency of the traditional methods, a BP neural network model is proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 20 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...
Based on the neural network method, a neural network model for comprehensive evaluation of teaching levels in fluid mechanics is built because the classic statistics method and static model can not meet the demand of precision to the nonlinear and uncertain system. The structure of the neural network model is described. The model is trained with fifty samples and tested with twenty samples. The test...
This paper deals with the study of the water quality assessment through application of BP neural network. Water quality of Sanmenxia Reach in Yellow River is evaluated by using BP neural network and compared with grey clustering method. The result indicates that BP neural network model can resolve complicated non-linear relation between evaluating gene and water quality grade, and the method is convenient,...
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