Application of Probabilistic Neural Network Model in Evaluation of Water Quality

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