辽宁工程技术大学学报（社会科学版）2023，Vol.25Issue(5)：342-349,8.DOI:10.11955/j.issn.1008-391x.20230504
基于遗传神经网络预测模型的辽宁省物流需求预测
Forecast of logistics demand in Liaoning Province based on genetic neural network prediction model
尹忠恺 1程陈1
作者信息
- 1. 辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105
- 折叠
摘要
Abstract
Aiming at the problem that the logistics demand prediction is not accurate enough at present,this paper takes the logistics demand of Liaoning Province as the research object,analyzes the relevant factors affecting the logistics demand,constructs the logistics demand prediction index system of Liaoning Province,replaces the logistics demand approximately with the highway freight volume,and analyzes the gray correlation between the highway freight volume and other indicators in the logistics demand prediction index system.Using neural network prediction models and genetic algorithm neural network prediction models to predict logistics demand in Liaoning Province.Research has shown that the genetic neural network prediction model is more accurate in predicting logistics demand in Liaoning Province.The research conclusion provides a reference for accurately predicting logistics demand in Liaoning Province.关键词
物流需求/预测/神经网络/遗传算法Key words
logistics demand/forecast/neural network/genetic algorithm分类
交通工程引用本文复制引用
尹忠恺,程陈..基于遗传神经网络预测模型的辽宁省物流需求预测[J].辽宁工程技术大学学报（社会科学版）,2023,25(5):342-349,8.
