LS-SVM-Based Modeling for Evaluating Equipment Support Concept

摘要：

Aiming at evaluating the equipment support concept, this paper leads into a new method based on Least squares support vector machines (LS-SVMs). Training samples is obtained by quantifying evaluating parameters. Then the testing data as the input of the trained network is introduced to objectively evaluate the whole effect of the equipment support concept. The simulation results indicate that Least squares support vector machines owns nonlinear mapping capacity and well behaved generalization, and this method can evaluate the equipment support concept efficiently.

关键词： equipment support concept Support Vector Machine evaluating parameters quantification

作者: Hui SHENG Yongli YU Liu ZHANG Yuan SUN Lidong ZHAO

作者单位: Department of Equipment Command and Management Mechanical Engineering College Shijiazhuang, China Naval aeronautical and astronautical university Yantai, China Shijiazhuang Posts and Telecommunications Technical College Shijiazhuang, China

会议类型: 国际会议

会议名称: 2011 International Conference on Quality,Reliability,Risk,Maintenance,and Safety Engineering(2011年质量、可靠性、风险、维修性与安全性国际会议暨第二届维修工程国际学术会议 ICQR2MSE 2011)

会议地点: 西安

会议语种:英文

页码: 718-722

在线出版日期: 2011-06-17（万方平台首次上网日期，不代表论文的发表时间）