文献类型：期刊文献

英文题名：RETRACTED: Neural network model analysis of consumption expenditure prediction of urban and rural residents based on Lasso regression analysis (Retracted article. See vol. 41, pg. 5769, 2021)

作者：Xu, Yanyan[1];Cheng, Jiafu[2];Chen, Songlin[2]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Anhui Jianzhu Univ, Sch Publ & Management, Hefei, Anhui, Peoples R China

年份：2020

卷号：38

期号：6

起止页码：7203

外文期刊名：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000558628900047)】；

语种：英文

外文关键词：Lasso regression analysis; BP neural network; urban and rural residents; consumption; combination model

摘要：How to analyze and predict the consumption behavior of Chinese residents is of great significance based on the existing consumption theory research and the actual situation in China. This study studies the factors influencing the consumption of urban and rural residents in China through factor analysis and builds a model of urban and rural residents' consumption expenditure based on BP neural network. At the same time, through the data collection, the consumption data of urban and rural residents in China from 1986 to 2017 were collected. The BP neural network prediction model was used to predict the consumption expenditure of urban and rural residents, and the absolute error and relative error were obtained. In addition, this study establishes a combined forecasting model based on Lasso regression analysis and BP neural network to predict the consumption expenditure of urban and rural residents and compares its prediction results with BP neural network prediction model. The research shows that the combined prediction model based on Lasso regression analysis and BP neural network comprehensively surpasses BP neural network prediction model in prediction accuracy, and it has certain effectiveness and puts forward practical suggestions, which provides theoretical reference for subsequent related research.