|本期目录/Table of Contents|

[1]甘旭升,端木京顺,丛伟,等.基于支持向量机的飞行安全隐患危险性评价[J].中国安全生产科学技术,2010,6(3):206-210.
 GAN Xu-sheng,DUANMU Jing-shun,CONG Wei,et al.Fatalness assessment of flight safety hidden danger based on support vector machine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2010,6(3):206-210.
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基于支持向量机的飞行安全隐患危险性评价()
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
6
期数:
2010年3
页码:
206-210
栏目:
职业安全卫生管理与技术
出版日期:
2010-06-30

文章信息/Info

Title:
Fatalness assessment of flight safety hidden danger based on support vector machine
作者:
甘旭升1端木京顺2丛伟2赵录峰2
1.西京学院,西安 ?710123
2.空军工程大学工程学院,西安 ?710038
Author(s):
GAN Xu-sheng1 DUANMU Jing-shun2 CONG Wei2 ZHAO Lu-feng2
1.XiJing College, Xi’an ?710123, China
2.College of Engineering, Air Force University of Engeering, Xi’an ?710038, China
关键词:
支持向量机飞行安全危险性评价神经网络
Keywords:
support vector mechine flight safety fatalness assessment neural network
分类号:
X949
DOI:
-
文献标志码:
A
摘要:
提出了基于支持向量机的飞行安全隐患危险性评价方法,建立了支持向量机模型。并以飞行安全隐患危险性评价的基本要素为输入节点,以评价结果作为输出节点,对空军某部的飞行安全状况进行了评价。结果表明:对于飞行安全隐患危险性评价问题,支持向量机方法较传统神经网络方法精度更高,速度更快,实际应用中也更易于实现。
Abstract:
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参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2010-04-12
作者简介:甘旭升,男,博士。
更新日期/Last Update: