Application of water quality evaluation model based on gray correlation analysis and artificial neural network algorithm

According to yangzhou 8 surface water monitoring station of 412 groups of measuring data, water quality assessment were analyzed by using grey correlation method of water quality evaluation factors sensitivity, and the sensitive parameters as the main parameter of water quality evaluation. The neural network model was established by using neural network theory and method. Water quality assessment was carried out for 8 surface water monitoring stations. The results are compared with the results of individual factors. The results show that the artificial neural network model can solve the complex nonlinear relationship between the evaluation factor and the water quality in the case of large quantities of data. The results are high reliability, high accuracy, good practicality and good objectivity. And the water quality in yangzhou is partly reflected.