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
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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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