| 基于径向基函数神经网络的流程企业供应链预测仿真 |
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| 引用本文： | 李自如,边利,邓建.基于径向基函数神经网络的流程企业供应链预测仿真[J].运筹与管理,2006,15(1):152-155. |
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| 作者姓名： | 李自如 边利 邓建 |
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| 作者单位： | 1. 中南大学,商学院,湖南,长沙410083
2. 中南大学,资源与安全学院,湖南,长沙410083 |
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| 摘 要： | 本文在比较预测方法的基础上，采用径向基函数（RBF）神经网络技术建立流程企业供应链预测模型，进行了实例预测仿真，并将预测结果与BP网络的预测结果进行了比较。结果表明，RBF网络误差小于BP网络，其中平方根RBF网络的预测仿真误差最小，而BP网络的误差最大。
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| 关 键 词： | 流程供应链 径向基函数神经网络 预测模型 预测仿真 |
| 文章编号： | 1007-3221(2006)01-0152-04 |
| 收稿时间： | 03 26 2005 12:00AM |
| 修稿时间： | 2005年3月26日 |
Forecast Simulation of Process Supply Chain Using Radial Basis Neural Network |
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| LI Zi-ru,BIAN Li,DENG Jian.Forecast Simulation of Process Supply Chain Using Radial Basis Neural Network[J].Operations Research and Management Science,2006,15(1):152-155. |
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| Authors: | LI Zi-ru BIAN Li DENG Jian |
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| Institution: | School of Business, Central South University, Changsha, 410083, China |
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| Abstract: | Firstly this paper analyzes the features of enterprise management and supply chain in process industry.Comparisons among several kinds of forecast method are made and then RBF network technology is used to build the customer & retailer forecasting system.An example is provided to illustrate the proper selection of supply chain partner.The results obtained from the RBF network are also compared with the results obtained using BP neural networks.It is found that the proposed method is correct and can be used in forecast simulation of process supply chain. |
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| Keywords: | process supply chain radial basis neural network forecast model forecast simulation |
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