Research and Application of Water Quality Evaluation of a Certain Section of Yangtze River Based on Fuzzy Neural Network

Due to the complexity of the process of water pollution, there are limitations in the traditional water quality evaluation methods. In this paper, the water quality is analyzed and evaluated by using the T-S fuzzy neural network model and the data of water quality monitoring in the last three years from January 2014 to February 2017 in a certain city of Yangtze River. The results show that the compliance rate of Grade III water quality is 100% in the Yangtze River from the beginning of 2014 to the beginning of 2017, and the trend of water quality rating is consistent with the real data index, which shows the effectiveness and advantages of fuzzy neural network.