中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Discovery of emerging patterns with immune network theory

文献类型:会议论文

作者Chen B(陈波); Zang CZ(臧传治)
出版日期2010
会议名称Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
会议日期March 8-11, 2010
会议地点San Diego, CA
关键词Artificial immune network emergent pattern recognition distributed sensing and monitoring systems
页码9 pp.
中文摘要This paper presents an immune network-based emergent pattern recognition method. The artificial immune network provides more flexible learning tools than neural networks and clustering technologies. With a neural network, a network structure has to be defined first. The immune network allows their components to change and learn patterns by changing the strength of connections between individual components. The presented computational model achieves emergent pattern recognition by dynamically constructing a network of feature vectors to represent the internal image of input data patterns. The immune network-based emergent pattern recognition approach has tested using a benchmark civil structure. The test result shows the feasibility of using the presented method for the emergent structural damage pattern recognition.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者SPIE
会议录Proceedings of SPIE - The International Society for Optical Engineering
会议录出版者SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地BELLINGHAM
语种英语
ISSN号0277-786X
ISBN号978-0-8194-8062-0
WOS记录号WOS:000285510800067
源URL[http://ir.sia.cn/handle/173321/8355]  
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
Chen B,Zang CZ. Discovery of emerging patterns with immune network theory[C]. 见:Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010. San Diego, CA. March 8-11, 2010.

入库方式: OAI收割

来源:沈阳自动化研究所

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