| 零售连锁企业安全库存神经网络模型预测 |
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| 引用本文： | 李玉霞,王伯良.零售连锁企业安全库存神经网络模型预测[J].河南科技大学学报(自然科学版),2007,28(1):57-59. |
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| 作者姓名： | 李玉霞 王伯良 |
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| 作者单位： | 河南科技大学,经济与管理学院,河南,洛阳,471003 |
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| 基金项目： | 河南省社会科学规划项目 |
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| 摘 要： | 安全库存预测是零售连锁企业管理的重要内容,针对其受多种不确定因素的影响,预测难度大.利用进化优选算法设计的径向基神经网络进行安全库存预测,该方法对处理非线性问题具有独特的优势,并具有良好的函数逼近效果.本文介绍预测模型的建立及实施方法,并通过实例说明该方法的有效性.
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| 关 键 词： | 神经网络 安全库存 企业管理 零售连锁 |
| 文章编号： | 1672-6871（2007）01-0057-03 |
| 修稿时间： | 2006-06-29 |
Safety Stock Forecast by Neural Network of Retail Chain Enterprise |
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| LI Yu-Xia,WANG Bo-Liang.Safety Stock Forecast by Neural Network of Retail Chain Enterprise[J].Journal of Henan University of Science & Technology:Natural Science,2007,28(1):57-59. |
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| Authors: | LI Yu-Xia WANG Bo-Liang |
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| Abstract: | Setting up the safety stock forecasting is one of the most important job of business management. For having so many unfixed influential sectors,it is difficult to forecast. It is put forward in this paper that the radial basis function neural network with evolutionary selecting algorithms forecasts the safety stock.This method has its unique advantages in forecasting nonlinear problems and it has effect on approaching function. Forecasting model and its implement are introduced. A live example proves the efficiency of this model. |
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| Keywords: | Neural network Safety stock Business management Retail chain |
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