RBF-SVM and its application on reliability evaluation of electric power system communication network

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 1188 - 1193
• Main Authors: Zhen-Dong Zhao, Yun-Yong Lou, Jun-Hong Ni, Jing Zhang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Artificial neural networks; Communication networks; Cybernetics; Electric power system communication network; Indicator system; Kernel; Kernel function; Machine learning; Performance analysis; Power system reliability; RBF-SVM; Reliability engineering; Reliability evaluation; Support vector machines; Telecommunication network reliability

Support vector machine (SVM) is a novel machine learning method after the artificial neural networks (ANN). The SVM with RBF is the research hot spot in assessment area at present. Because of its good learning performance, the SVM with RBF is widely used in practical application. In this paper, the...