Fuzzy Neural Network Model and its Application in Water Quality Evaluation

摘要

In view of the defect of traditional water quality evaluation model, based on fuzzy neural network theory, anew model of fuzzy neural network (FNN) comprehensive evaluation is developed to evaluate surface waterquality in Suzhou. A fuzzy neural network is a new type of neural network consisting Radical Basis networkand compete neural network, which is simple in structure, easy for training and widely used. FNN model isapplied to evaluate the water quality at representative sections in the Suzhou surface area from the year1999-2002. The results indicate that FNN model is suitable for water quality evaluation. By analysis, it isimportant to pay attention to bring into effective measures for pollution control.