Fuzzy Neural Network Model and its Application in Water Quality Evaluation

In view of the defect of traditional water quality evaluation model, based on fuzzy neural network theory, a new model of fuzzy neural network (FNN) comprehensive evaluation is developed to evaluate surface water quality in Suzhou. A fuzzy neural network is a new type of neural network consisting Radical Basis network and compete neural network, which is simple in structure, easy for training and widely used. FNN model is applied to evaluate the water quality at representative sections in the Suzhou surface area from the year 1999-2002. The results indicate that FNN model is suitable for water quality evaluation. By analysis, it is important to pay attention to bring into effective measures for pollution control.