| 主成分分析与神经网络在物流中心选址决策中的应用 |
| |
| 引用本文： | 王明宪,毛遂,陈曦,王小爱. 主成分分析与神经网络在物流中心选址决策中的应用[J]. 物流科技, 2006, 29(7): 33-35 |
| |
| 作者姓名： | 王明宪 毛遂 陈曦 王小爱 |
| |
| 作者单位： | 桂林工学院,广西,桂林,541004 |
| |
| 摘 要： | 传统物流中心选址模型存在种种局限，本文通过综合主成分分析和神经网络方法降低神经网络规模，提高神经网络的泛化能力，在解决非线性系统的物流中心选址问题中显示了较高的精度和效率。
|
| 关 键 词： | 物流选址 主成分分析 神经网络 |
| 文章编号： | 1002-3100（2006）07-0033-03 |
| 收稿时间： | 2005-12-28 |
| 修稿时间： | 2005-12-28 |
The Application of Principal Component Analysis & Neural Network in Logistics Center Location |
| |
| WANG Ming-xian,MAO Sui,CHEN Xi,WANG Xiao-ai. The Application of Principal Component Analysis & Neural Network in Logistics Center Location[J]. Logistics Management, 2006, 29(7): 33-35 |
| |
| Authors: | WANG Ming-xian MAO Sui CHEN Xi WANG Xiao-ai |
| |
| Affiliation: | Guilin University of Technology, Guilin 541004, China |
| |
| Abstract: | Traditional logistics center location has some limitation. This paper proposes a new method-the combination of principal component analysis and the neural network, which can reduce the neural network scale, enhance its generalization. Its demonstrats the high precision and efficiency in the solution of nonlinear programming on logistics center location. |
| |
| Keywords: | logistics centers location principal component analysis neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
