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 information project is a complex system engineering. According to the system view, this paper puts forward the risk early warning index system of integrated information project based on the life cycle of information project development, and builds the risk early warning model of integrated enterprise information project based on principal component analysis and BP neural network. Using principal component analysis method to fundamentally reduce the size of the neural network, improve the generalization ability of neural network in the multi-index small sample problem, and use it for risk early warning.