Water quality evaluation based on fuzzy BP neural network
Abstract：In this paper,based on the BP Neural network the degree of membership BP Neural network model was constructed.Aiming at the model characteristics,the criteria matrix of water quality evaluation is established,and the network training samples are built by using extending method.The water quality of the outlet of a sewage water treatment plant in Foshan is evaluated.The Fuzzy Membership degree method is used in the water quality evaluation,which can concisely express the water quality are close to the certain level of water quality standards.The studies show that the algorithm makes the evaluation results more specific and accurate,It provides the scientific basis for effective monitoring the outlet of sewage water treatment plant.
Keywords：NNdegree of membershipwater quality evaluation
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 15-19 )