基于径向基函数神经网络的流程企业供应链预测仿真  

Forecast Simulation of Process Supply Chain Using Radial Basis Neural Network

作　　者：李自如[1] 边利[1] 邓建[2] 

机构地区：[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

出　　处：《运筹与管理》2006年第1期152-155,共4页Operations Research and Management Science

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。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.

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 

分 类 号：O221.1[理学—运筹学与控制论]