吉林大学学报（信息科学版）2023，Vol.41Issue(5)：820-826,7.
基于二元密度聚类的物资价格时延计算方法研究
Research on Time-Delay Calculation Method of Material Price Based on Binary Density Clustering
摘要
Abstract
There are many kinds of raw materials required,and the market price of materials is affected by the price of raw materials.Under such conditions,the price of raw materials has changed,but the market price of materials has not changed.In order to improve the effect of prediction,it is necessary to obtain the time delay of price.This study uses binary density clustering method combined with DTW(Dynamic Time Warping)algorithm,to calculate the similarity between the market prices of commodities over different time intervals and the trends in raw material prices.It has been determined that the market prices of commodities lag behind the fluctuations in raw material prices by 11 weeks.As a result,the market price of cable materials can be predicted based on the trends in raw material prices from 11 weeks ago.This information can assist the procurement department of businesses in formulating rational procurement strategies.关键词
价格预测/二元密度聚类/动态时间规整/数据融合Key words
forecast price/binary density clustering/dynamic time warping(DTW)/data fusion分类
信息技术与安全科学引用本文复制引用
程晓晓,蒲兵舰,张国平,丁萌萌..基于二元密度聚类的物资价格时延计算方法研究[J].吉林大学学报（信息科学版）,2023,41(5):820-826,7.基金项目
国网公司总部基金资助项目(5400-202124146A-0-0-00) （5400-202124146A-0-0-00）
国网河南省电力公司基金资助项目(5217N0210001) （5217N0210001）
