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数据挖掘在桥梁健康监测智能评估系统中的应用 被引量:3

Application of Data Mining Technology in Health Monitoring and intelligent Assessment system for Bridges
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摘要 本文从桥梁健康监测智能评估系统和数据挖掘的概念出发,根据桥梁健康监测智能评估系统数据的特点说明了采用数据挖掘的必要性和优越性。然后探讨了数据挖掘的几种常用技术-人工神经网络、决策树、近邻方法、遗传算法在桥梁健康监测智能评估系统的使用。 In this paper, the concept of Health Monitoring and intelligent Assessment system for bridges and Data Mining Technology is briefly reviewed first. Connected with characteristics of data of this kind of system, we know it is necessary and advantageous to apply data mining technology. At last, we discuss the situation of some traditional methods of dating mining applied in Health Monitoring and intelligent Assessment system for Bridges, such as artificial neural network , decision tree, Nearest neighbor, genetic algorithm, etc.
作者 柳旭 祁耀斌
出处 《微计算机信息》 北大核心 2006年第08X期30-32,共3页 Control & Automation
基金 国家自然科学基金(50179029)
关键词 数据挖掘 桥梁 健康监测 智能评估 data mining, bridge, health monitoring, intelligent Assessment
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  • 1Chueng M S , Tadros G S , Brown T G, et al. Field Monitoring and Research on Performance of The Confederation Bridge [J].Canadian Journal of Civil Engineering, 1997,24(6)951-962.
  • 2Wong K Y, Chart W Y K, Man KL. The use of structural health monitoring system in operation & maintenance of cable supported bridges[A] . In : one Day Annual Seminar Structural Symposium 2000 Highway and railway Structures[C] . Hong Kong ,2000. 110~121.
  • 3Curran P , TiUy G. Design and Monitoring of the Flintshire Bridge [J]. Structural Engineering International,1999,9(3):225-228
  • 4李敏.数据挖掘在辅助决策系统的应用研究[J].微计算机信息,2004,20(5):96-97. 被引量:36

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