基于神经网络虚拟企业资源协同模糊综合评价

由于虚拟企业协同利益不一致、文化背景不同等原因,协同的结果很难判别,从虚拟企业协同的技术能力、成本管理等方面建立虚拟企业之间进行资源的合理配置和优化组合的评价模型,并通过事例获取企业数据,进行定性和定量分析,作为神经网络的输入数据,通过隐含学习和训练,输出神经网络拟合值,并用神经网络对输出结果进行评价和排序;对虚拟企业资源协同的状况及其结果进行评价和论断,以提高认识的深度和分析的质量。最后使用Matlab6.5对算例验证其可行性。

Research on the Estimation for Resource of Virtual Enterprises with Neural Network

It is different for Virtual enterprises in behalf,culture background and so on.It sets up the estimation model for the Virtua enterprises with configuration and optimization combined some factors such as the technology capacity,cost management and so on.The data from case can become import data of neural networks by concealed learning and exercitation,estimated result is validated by sort value of neural networks with MATLAB6.5 platform.