A Look-Ahead Method for Forecasting the Concrete Price
作者单位：School of Economics and ManagementHuainan Normal University Graduate School of Management of TechnologyPukyong National University
会议日期：2022年
学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 07[理学] 070104[理学-应用数学] 0701[理学-数学]
关 键 词：Price Forecasting Concrete Deep Learning Autoregression
摘 要：Price movement of building materials increases the uncertainty of architectural *** a basic building material,commercial concrete is an important part of various construction *** is of great significance to predict its price change trend in *** this paper,a univariate autoregressive series is constructed based on the daily average price of concrete in major cities in China;then it uses a combined model of Convolutional Neural Network(CNN) and Long Short-Term Memory Network(LSTM) to extract the spatial and temporal rules of time series,to achieve accurate prediction of the trend of concrete price changes 10 days *** prediction accuracy rate of the model is 97.13%,and the precision,recall rate,and F1 score are:97.15%,97.27%,and 97.20%,*** prediction result is of great significance to various architectural planning.