Research on Logistics Demand Prediction in the Yangtze River Delta Region Based on Gray Neural Network
As a key indicator for measuring regional logistics demand,the prediction research of regional freight vol-ume not only reveals the scale of logistics development,but also maps out the future trends and development directions of the logistics industry.This study takes the Yangtze River Delta region as an example and selects the influencing factors of logistics demand to construct an indicator system.Gray correlation analysis and gray prediction are conducted on the raw data of the Yangtze River Delta region from 2001 to 2022 using gray theory.Next,a gray neural network model is con-structed to predict and analyze the logistics demand in the Yangtze River Delta region from 2023 to 2027.The research re-sults indicate that the gray neural network combination prediction model has higher accuracy,and the prediction results can provide data support and decision-making references for the planning and development of logistics in the Yangtze River Delta region.
Yangtze River Delta regionlogistics demandgray predictionBP neural network prediction
万方数据
维普
