摘要
针对烟草营销中卷烟货源投放总量难以准确控制的问题,通过分析各区域货源投放量、实际销售量与零售价格之间的相互关系,采用BP神经网络预测,建立了卷烟零售量价控制模型,据此来调控各品类的投放量,测试结果表明有较好的预测准确度。
For the problem difficult to control the total launch quantity of cigarette accurately in tobacco marketing, the relationship among regional launch quantity, actual sales volume and price was analyzed, the volume and price control model of cigarette retail was established through BP neural network prediction to control the launch quantity of cigarette. The testing results show it has a high forecasting accuracy.
出处
《湖北汽车工业学院学报》
2013年第1期64-67,共4页
Journal of Hubei University Of Automotive Technology
基金
数据挖掘技术在我省地市级烟草公司卷烟营销中的应用研究(2012Y051)
关键词
BP算法
神经网络
量价控制
预测
BP algorithm
neural network
volume and price control
forecast
