Evaluation and Prediction of Water Quality of Yuecheng Reservoir in Handan Based on BP Neural Network
BP neural network has the ability of nonlinear modeling,adaptability and generalization,and the ability to process large amounts of data.At the same time,it also has the characteristics of interpretability and visualization,which can realize real-time monitoring and prediction,making BP neural network an important tool and method in water quality evaluation and detection research.First,the basic principle and model structure of BP neural network are introduced,and then the BP neural network model of water quality evaluation and prediction is constructed,and the water quality evaluation and prediction of Yuecheng Reservoir is carried out.By comparing the output results of BP neural network with the water quality classification standard,it can be seen that the two are in good agreement,and can be used for water quality evaluation and prediction.
BP neural networkYuecheng Librarywater quality assessmentwater quality prediction
万方数据
维普
