Prediction of rural environmental pollution control cost based on combination model
Aiming at the problems of waste of funds and lack of reasonable cost planning in the process of environ-mental governance,a study on the prediction of rural environmental pollution governance cost based on combination model is proposed.Establish the cost accounting system and optimize the cost function from three aspects:resource use,environmental damage and environmental governance;The relationship between input and output in the process of pollution control is analyzed by setting different training rules using forward looking neural network;A large num-ber of time-varying data are used to establish a differential autoregressive average model,and the future value of the variable is obtained by combining the past value and the past error;The learning process of wavelet neural network is designed,the scale and translation factors are introduced,and the weight of each connection layer is calculated.After repeated learning,the prediction error is minimized;The first mock exam is based on two models,and the single mod-el weight is calculated to output the final cost prediction value.Experiments in real areas show that the proposed com-bined model can not only accurately predict the governance cost of single index,but also improve the overall cost pre-diction accuracy from a long-term perspective.
Combination modelWavelet neural networkRural environmental pollutionGovernance costsIn-put and output
万方数据
维普
