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题名: Discovery of emerging patterns with immune network theory
作者: Chen B(陈波) ; Zang CZ(臧传治)
作者部门: 工业信息学研究室
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
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
出版日期: 2010
页码: 9 pp.
收录类别: CPCI(ISTP) ; EI
ISSN号: 0277-786X
ISBN号: 9780819480620
关键词: Artificial immune network ; emergent pattern recognition ; distributed sensing and monitoring systems
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8355
Appears in Collections:工业信息学研究室_会议论文

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