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递归神经网络预测在库存管理决策中的应用
引用本文:董晓妮,张彤,温广瑞. 递归神经网络预测在库存管理决策中的应用[J]. 西安工程科技学院学报, 2005, 19(4): 486-489
作者姓名:董晓妮  张彤  温广瑞
作者单位:[1]西安工程科技学院管理学院,陕西西安710048 [2]西安交通大学机械工程学院,陕西西安710049
基金项目:陕西省教育厅专项基金资助项目(04JK274)
摘    要:为解决供应链中库存管理的不确定性问题,建立了基于递归神经网络技术的需求预测模型,并在此基础上提出了该模型的学习算法.通过实验仿真将该模型同经典多层前馈神经网络模型的预测效果相比较,得出了该模型在多步预测方面比较优越的结论.利用某企业的销量预测进行了实例验证,效果良好.

关 键 词:供应链  库存管理  递归神经网络  多步预测
文章编号:1671-850X(2005)04-0486-04
修稿时间:2005-05-23

Application of recurrent neural networks prediction in inventory management decision
DONG Xiao-ni,ZHANG Tong,WEN Guang-rui.School of Management,XAUEST,Xi'an ,China,.College of Mechanical Engineering,XJTU,Xi'an ,China). Application of recurrent neural networks prediction in inventory management decision[J]. Journal of Xi an University of Engineering Science and Technology, 2005, 19(4): 486-489
Authors:DONG Xiao-ni  ZHANG Tong  WEN Guang-rui.School of Management  XAUEST  Xi'an   China  .College of Mechanical Engineering  XJTU  Xi'an   China)
Affiliation:DONG Xiao-ni~1,ZHANG Tong~1,WEN Guang-rui~21.School of Management,XAUEST,Xi'an 710048,China,2.College of Mechanical Engineering,XJTU,Xi'an 710049,China)
Abstract:Based on recurrent neural networks,a new prediction model of demand in supply chain is founded.The learning algorithm of the prediction is also proposed to obtain better prediction of time series in future.To validate the prediction performance of recurrent neural networks,a simulated time series data and a practical sales data have been used.By comparing the prediction result of Multi-Layer feedback neural networks and recurrent neural networks,it shows that the recurrent neural networks prediction model can help improving the prediction accuracy.
Keywords:supply chain  inventory management  recurrent neural networks  multi-step prediction
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