Fatalness Evaluation of Flight Safety Hidden Danger Based on Support Vector Machine

摘要：

A method for fatalness evaluation of flight safety hidden danger, based on support vector machine (SVM), is proposed. And the corresponding model, which makes the basic evaluation factors of flight safety hidden danger fatalness as input node and evaluation results as output node, is established. Then the safety situation of a regiment of China Air Force is evaluated. The application result shows that, for fatalness evaluation of flight safety hidden danger, SVM has better performance on precision, rapidity and realization in comparison with traditional neural network.

关键词： support vector machine fatalness evaluation flight safety neural network

作者: Gan Xusheng Duanmu Jingshun Cong Wei

作者单位: XiJing College, Xian,Shaanxi, 710123, China Engineering College, Air Force Engineering University, Xian, Shaanxi, 710038,China Engineering College, Air Force Engineering University, Xian.Shaanxi, 710038,China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Advanced Management Science(2010年IEEE高级管理科学国际会 IEEE ICAMS 2010)

会议地点: 成都

会议语种:英文

页码: 567-571

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）