摘要
高敏捷性是虚拟企业适应不断变化的市场必备的素质,如何对它进行准确评价是虚拟企业运行中的重要问题,针对此问题先对虚拟企业及其盟员敏捷性之间的关系分析,然后提出在已知虚拟企业盟员敏捷性的基础上用贝叶斯正则化神经网络来计算虚拟企业的敏捷性,最后通过仿真试验测试了该方法的可行性。实验结果证明与非正则化神经网络相比,贝叶斯正则化神经网络的泛化能力强,评价数据结果稳定。该方法可用于各种规模的虚拟企业评价。
To study how to measure Agility of Virtual Enterprise（VE）,the relationship between VE and its member is analyzed first.Based on it,a new method using Bayesian Regularization Neural Network（BRNN） for Agility Evaluation of Virtual Enterprise is developed.A simulative example illustrates the usefulness of the proposed method.In contrast to the non regularization neural net work,the result shows that BRNN overcomes the over-fitting problems,it can be used to measure any size of VE.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第8期223-225,235,共4页
Computer Engineering and Applications
基金
国家科技部高新技术计划项目( the National Ministry of Science and Technology High- Tech Foundation No.2005EJ000017)
河北省科技研究与发展计划( the Science Research and Develop Program of Hebei Province of China No.02547015D)
河北省普通高等学校博士科研基金( the Postdoctoral Research Program Foundation of Institutions of Higher Education of Hebei Province of ChinaNo.B2002118)
关键词
虚拟企业
盟员
敏捷性评价
神经网络
贝叶斯正则化
virtual enterprise
member
agile evaluation
neural network
Bayesian regularization
