摘要
结合中小型制造业的特点,通过分析其供应商评价指标体系,应用层次分析法(Analytic Hierarchy Process,AHP)和BP(Back-Propagation)神经网络算法建立评价模型,应用线性回归分析和相关性分析来检验BP神经网络的性能。结合实例分析证明了评价指标体系和评价模型的有效性。
Based on the self-characteristics of the middle-small manufacture,by analyzing the supplier evaluation index systerm and applying Analytic Hierarchy Process （AHP） and Back-Propagation （BP） neural network to establish evaluation model. Finally, based on the analysis of the real case was proved that the supplier evaluation index systerm and evaluation model are both effective.
出处
《现代制造工程》
CSCD
北大核心
2012年第10期47-52,共6页
Modern Manufacturing Engineering
关键词
供应商评价指标体系
层次分析法
BP神经网络
线性回归
supplier evaluation index systerm
Analytic Hierarchy Process （AHP）
Back-Propagation （BP） neural network
linearregression
