Support Vector Machines and RBF Neural Networks for Fault Detection and Diagnosis

摘要：

We compare RBF neural networks with Support Vector Machine Classifiers in data sets corresponding to faults in an industrial environment. The resuite thaw better performance of the former enhancing the chosen model for the practical case study.

关键词： Support Vector Machines RBF networks Kernel Learning Methods Fault Detection and Diagnosis

作者: B Ribeiro

作者单位: Centre of Informatics and Systems, Department of Informatics Engineering,University of Coimbra P(o)lo II, Pinhal de Marrocos, 3030 Coimbra, Portugal

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 911-917

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）