Hopfield神经网络对供应商分类的研究  

作　　者：许蔚[1] 

机构地区：[1]同济大学电子与信息工程学院,中国上海200092

出　　处：《科技信息》2011年第29期91-91,127,共2页Science & Technology Information

摘　　要：本文分析了供应商选择所涉及的各种因素及其相互关系,运用离散Hopfield神经网络模型,面对大量供应商评级数据,然后通过离散Hopfield神经网络的联想记忆能力,建立离散Hopfield供应商评级模型。从而减小评价分析决策中因个人主观性带来的偏差。这样使供应商选择的过程更条理化、层次化,企业对供应商的选择机制更具科学性。In order to select the best suppliers it is necessary to make a trade off between these tangible and intangible factors. In this paper, a supplier evaluation architecture is established based on supplier competition ability. Exercising discrete Hopfield neural network model, it wilt face to deal with a large number of supplier assessment rating data and then through the discrete Hopfield neural network＇s associative memory function to set up the discrete Hopfield supplier assessment rating model. It can reduce the evaluation analysis decision because of individual subjectivity brings deviation. So the supplier selection process will be more structured, hierarchical, and enterprise supplier selection is more scientific.

关 键 词：供应商管理 HOPFIELD神经网络模型 分类 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]