摘要
企业信息化项目是一项复杂的系统工程。以系统的观点依据信息化项目开发的生命周期提出信息化项目集成风险预警指标体系,构建基于主成分分析法与BP神经网络相结合的企业信息化项目集成风险预警模型。利用主成分分析法从根本上减少神经网络的规模,提高多指标小样本问题中神经网络的泛化能力,并将之用于风险预警。
Enterprise informatization is regarded as a complex systems engineering. This paper, from the viewpoint of system, presents an integrated risk index system of informatization project according to life cycle of the development of informatization project, and builds a risk warning model for integrated enterprise information system project based on the combination of principal component analysis and BP neural network. Principal component analysis is used to radically reduce the size of neural networks, and to build risk early-warning model.
出处
《系统工程》
CSSCI
CSCD
北大核心
2012年第12期110-114,共5页
Systems Engineering
基金
湖南省自然科学基金资助项目(09JJ5046)
湖南省哲学社会科学基金资助项目(2010YBB098)
关键词
主成分分析(PCA)
信息化项目风险
风险预警
BP神经网络
Principal Component Analysis (PCA),Informatization Proiect Risks
Risk Early-warning
BP Neural Network