Risk Evaluation of Power System Communication Based on PCA and RBF Neural Network

摘要：

Based on principal component analysis (PCA) and radial basic function (RBF) neural network (NN), this paper proposes an approach to evaluate the risk of power system communication, in which the complexity of influencing factor and difficulty to describe evaluation in models of mathematics is overcome. Concretely, the original input space is reconstructed by principal component analysis(PCA) and the structure of the network is determined according to the contributions from the principal components respectively, so the ability of training speed and evaluation are improved. The effectiveness of the proposed algorithm is verified by the practical data for the power system communication

作者: Huisheng GAO Jianmin FU

作者单位: North China Electric Power University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）