Industrial Economic Trade Volume Based on Multi-prediction Model Algorithm

Abstract

Industrial economic trade volume is an important indicator of national economic growth, enhance international exchanges, with the development of global economic integration, import and export trade has become an important position in a country’s national economy, in the future to promote the rapid development of China’s economy and trade, on the international stage, must accurately grasp and predict our import and export trade in a favorable direction. In recent years, with the evolution and maturity of prediction science, at present, nonlinear prediction methods and combined prediction model methods are the hot spots of scholars, and excavated many nonlinear and combined prediction methods, due to different factors due to different directions, in addition, different prediction methods match different use conditions. Therefore, we should choose the prediction method that can improve the prediction accuracy strictly according to the law of things development. The paper aims to study the prediction and analysis of the multi-prediction model algorithm for the industrial economy and trade volume, and build a multi-prediction model, which is of great significance for the development of China’s industrial economy and trade. Based on literature research and quantitative analysis, we collected and predicted the data and used the application of industrial economic and trade volume for the accurate prediction of import and export industrial trade volume.