摘要
为了精确预测汽车销售量,利用数据集成技术收集汽车往期销售数据,再对数据进行清洗、变换和约简处理,然后计算周权重指数,利用周权重指数构建汽车销售量预测模型,通过模型实现销售量预测,最后将预测结果利用可视化技术直观地显示出来。仿真结果显示,利用该方法预测的汽车销售量与实际销售量之间误差较小,说明该预测模型具有较高的准确性。这一方法可以为汽车销售量的精准预测提供理论基础。
In order to accurately predict automobile sales,data integration technology is used to collect automobile sales data in the past,and then the data is cleaned,transformed and reduced.Then the weekly weight index is calculated,and the weekly weight index is used to build the automobile sales prediction model,through which the sales volume is predicted.Finally,the prediction results are visually displayed by visualization technology.The simulation results show that the error between the predicted vehicle sales and the actual sales is small,which indicates that the prediction model has high accuracy.This method can lay a solid theoretical foundation for the accurate prediction of automobile sales,and has strong applicability.
作者
戴华
DAI Hua(School of Automotive Engineering and Management,Wuxi South Ocean College,Wuxi 214001,China)
出处
《西安航空学院学报》
2021年第3期41-46,共6页
Journal of Xi’an Aeronautical Institute
基金
江苏高校“青蓝工程”优秀青年骨干教师培养项目
江苏高教学会“数字化”专项(2020JDKT178)。
关键词
周权重指数
汽车销售量
可视化方法
预测模型
weekly weight index
automobile sales data
automobile sales forecast
visualization method
