| 基于神经网络和SVM配送中心选址研究 |
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| 引用本文： | 吕运芝,刘婧珏,徐晓璐.基于神经网络和SVM配送中心选址研究[J].计算机与现代化,2011(11):18-21. |
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| 作者姓名： | 吕运芝 刘婧珏 徐晓璐 |
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| 作者单位： | 1. 宜昌行政学院,湖北宜昌,443000
2. 中南财经政法大学,湖北武汉,430073 |
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| 摘 要： | 在研究以前学者用神经网络研究配送中心选址的基础之上,提出一种研究配送中心选址的新算法,即结合神经网络和SVM的算法,并使用不同的方法进行比对试验。通过利用神经网络和SVM处理数据,比较客观地对多个候选方案进行评价,并且举实例说明该算法的实现过程。
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| 关 键 词： | 神经网络 SVM 配送中心 选址 |
Research on Distribution Center Location Based on Artificial Neural Networks and SVM |
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| Lü Yun-zhi,LIU Jing-jue,XU Xiao-lu.Research on Distribution Center Location Based on Artificial Neural Networks and SVM[J].Computer and Modernization,2011(11):18-21. |
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| Authors: | Lü Yun-zhi LIU Jing-jue XU Xiao-lu |
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| Affiliation: | Lü Yun-zhi1,LIU Jing-jue2,XU Xiao-lu2(1.Yichang Administrative Institute,Yichang 443000,China,2.Zhongnan University of Economics and Law,Wuhan 430073,China) |
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| Abstract: | This paper proposes a new algorithm of distribution center location based on the precious academic study.This algorithm combines artificial neural networks and support vector machine algorithm,and makes tests with different methods.Through using the artificial neural networks and support vector machine to process data,appraises a lot of candidates objectively,and gives examples of the implementation process. |
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| Keywords: | neural network support vector machine distribution center location |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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