Application of Autoregressive Integrated Moving Average Mode in Computer Intelligent City Forecasting Model and Analysis

Under the background of comprehensively deepening reform and opening up, Xiamen, China’s special economic zone, One of the earliest cities in China to carry out reform and opening up, faces a new era of economic development. However, due to the impact of covid-19, the economic situation at home and abroad is terrible, thus predicting Xiamen’s GDP is necessary for the better economic development of Xiamen, as it can help Xiamen to carry on macro-control to economy earlier. In this article, the quarterly GDP of Xiamen City from 2009 to 2020 was selected to analyze the economic situation of Xiamen City, and the ARIMA (Autoregressive Integrated Moving Average mode) (4,1,1) (0,1,0) 4 model is established through time series analysis to predict the GDP of Xiamen City in four quarters in 2021, And the results show that the GDP2021 will be 111.56% of GD2020.Based on the analysis of the forecast results, the paper also gives policy suggestions on the economy for Xiamen Government.