数码设计Issue(19)：80-82,3.
基于LSTM、ARIMA的物流分拣中心货量预测研究
A Study on Cargo Volume Prediction in Logistics Sorting Center Based on LSTM and ARIMA
朱晓涵 1董丽萍 1徐倩如 1李越 1张思彬1
作者信息
摘要
Abstract
In this paper,the daily and hourly volumes of 57 sorting centers are predicted for the next 30 days based on historical data.ARIMA model and LSTM model are established for the time series data,and the model is used to predict the cargo volume,and the prediction results are obtained.According to the results,it is found that LSTM model prediction is more obvious and accurate.关键词
LSTM模型/ARIMA模型/物流分拣/货量预测Key words
LSTM model,/ARIMA model,/logistics sorting,/cargo volume prediction分类
管理科学引用本文复制引用
朱晓涵,董丽萍,徐倩如,李越,张思彬..基于LSTM、ARIMA的物流分拣中心货量预测研究[J].数码设计,2024,(19):80-82,3.
