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Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model
2021
Computational Intelligence and Neuroscience
Based on the BP neural network and the ARIMA model, this paper predicts the nonlinear residual of GDP and adds the predicted values of the two models to obtain the final predicted value of the model. First, the focus is on the ARMA model in the univariate time series. However, in real life, forecasts are often affected by many factors, so the following introduces the ARIMAX model in the multivariate time series. In the prediction process, the network structure and various parameters of the
doi:10.1155/2021/1026978
pmid:34804136
pmcid:PMC8604606
fatcat:swtdxb4grbbxbexuq22vcmyy4y