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基于灰色关联分析与 XGBoost 模型的销售预测研究
引用本文:张星,何利力,郑军红.基于灰色关联分析与 XGBoost 模型的销售预测研究[J].教育技术导刊,2009,19(9):6-10.
作者姓名:张星  何利力  郑军红
作者单位:浙江理工大学 信息学院,浙江 杭州 310018
基金项目:国家重点研发计划子项目(2018YFB1700702)
摘    要:为提高销售预测准确率,提出一种基于改进 XGBoost 的销售预测方法。首先对销售量影响因素进行特征分析,通过改进灰色关联分析方法对训练数据进行降维处理|然后采用基于 XGBoost 算法的销售预测方法对降维后的特征数据进行监督训练|最后使用训练后的模型对销售情况进行预测评估。实验结果表明,基于灰色关联分析和 XGBoost 模型的销售预测方法正确率达到 95%以上,比传统的经典预测方法提高 35%以上,比 XG?Boost 预测方法提高 19.6%。基于灰色关联分析与 XGBoost 模型的销售预测方法不仅能有效处理海量数据,提高销售预测准确率,还能为制造企业实现产品精准投放提供决策依据。

关 键 词:灰色关联分析  XGBoost  模型  销售预测  精准投放  
收稿时间:2020-01-13

Research on Sales Forecast Based on Grey Association Analysis and XGBoost Model
ZHANG Xing,HE Li-li,ZHENG Jun-hong.Research on Sales Forecast Based on Grey Association Analysis and XGBoost Model[J].Introduction of Educational Technology,2009,19(9):6-10.
Authors:ZHANG Xing  HE Li-li  ZHENG Jun-hong
Institution:Information Institute,Zhejiang Sci-Tech University,Hangzhou 310018,China
Abstract:A sales forecasting method based on improved XGBoost is proposed. Firstly,the influential factors that affect the sales volume are analyzed by characteristics,and the training data is reduced in dimension by improving the grey correlation analysis method. Then,the sales prediction method based on the XGBoost algorithm is used to supervise and train the feature data after dimensionality reduction. Finally,the trained model is used to predict and evaluate the sales situation. The experimental results show that the accuracy rate of sales forecasting method based on gray correlation analysis and XGBoost model reaches more than 95%,which is 35% higher than the traditional classic prediction method,and 19.6% higher than the XGBoost prediction method. The sales forecasting method based on gray correlation analysis and XGBoost model can not only effectively deal with massive data,improve the accuracy of sales forecasting,but also provide decision-making basis for manufacturing enterprises to achieve accurate product launch.
Keywords:grey correlation analysis  XGBoost model  sales forecast  accurate delivery  
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