Emergent damage pattern recognition using immune network theory

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	Emergent damage pattern recognition using immune network theory
	Zang CZ(臧传治)
刊名	SMART STRUCTURES AND SYSTEMS
	2011
卷号	8 期号:1 页码:69-92
关键词	emergent pattern recognition immune network theory hierarchical clustering artificial immune systems
ISSN号	1738-1584
产权排序	2
中文摘要	This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immune-network-based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Civil ; Engineering, Mechanical ; Instruments & Instrumentation
研究领域[WOS]	Engineering ; Instruments & Instrumentation
关键词[WOS]	MONITORING-SYSTEM ; CLUSTERS ; NUMBER ; ALGORITHM ; SELECTION
收录类别	SCI
资助信息	This research is supported by the National Science Foundation under Grant No. 1049294 and Michigan Tech Research Excellence Fund. Any opinions, findings, and conclusions expressed in this material are those of the authors and do not necessarily reflect the views of the sponsoring institutions. The authors would like to thank Wenjia Liu for his contributions to the simulation work described in this article.
语种	英语
WOS记录号	WOS:000293367200006
公开日期	2012-05-29
内容类型	期刊论文
源URL	[http://ir.sia.ac.cn/handle/173321/7079]
专题	沈阳自动化研究所_工业信息学研究室
推荐引用方式 GB/T 7714	Zang CZ. Emergent damage pattern recognition using immune network theory[J]. SMART STRUCTURES AND SYSTEMS,2011,8(1):69-92.
APA	Zang CZ.(2011).Emergent damage pattern recognition using immune network theory.SMART STRUCTURES AND SYSTEMS,8(1),69-92.
MLA	Zang CZ."Emergent damage pattern recognition using immune network theory".SMART STRUCTURES AND SYSTEMS 8.1(2011):69-92.