辽宁工程技术大学学报（自然科学版）Issue(6)：817-821,5.DOI:10.3969/j.issn.1008-0562.2013.06.021
基于BP神经网络的商品库存控制模型
The supermarket goods inventory control model based on BP neural network
孔繁烨 1耿也1
作者信息
- 1. 大连工业大学 信息科学与工程学院，辽宁 大连 116000
- 折叠
摘要
Abstract
In order to overcome the drawbacks of the high traditional inventory costs and low consumer satisfaction, this paper analyzed the training process of BP neural network models of inventory control based on the sales record of a supermarket during a period of time as sample data, and verified that the BP neural network adaptive ability, fault-tolerant ability and the ability of dealing with the nonlinear relationship, ensured the accuracy of inventory forecast, finally proposed the inventory control model based on BP neural network algorithm. The results show that the control model can accurately control the supermarket merchandise inventory, provide decision support for reasonable control of inventory, and improve the efficiency of inventory control.关键词
超市/BP神经网络/数据挖掘/库存控制/最小化/预测/信息化/决策支持Key words
supermarket/BP neural network/data mining/inventory control/minimize/forecast/informatization/decision support分类
管理科学引用本文复制引用
孔繁烨,耿也..基于BP神经网络的商品库存控制模型[J].辽宁工程技术大学学报（自然科学版）,2013,(6):817-821,5.
