| 基于免疫学的错误识别分类系统 |
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| 引用本文： | 翁理国,夏旻,张凯,乔著汉.基于免疫学的错误识别分类系统[J].系统仿真学报,2011,23(10):2216-2219. |
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| 作者姓名： | 翁理国 夏旻 张凯 乔著汉 |
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| 作者单位： | 1. 南京信息工程大学信息与控制学院,南京,210044
2. 南京理工大学机械工程学院,南京,210094 |
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| 摘 要： | 免疫系统自身具有许多重要的特性，例如：自适应性、鲁棒性、记忆性以及分布式特性等等。这些特性提供给研究人员很多设计新型错误识别分类系统的灵感。在免疫学的基础上提出了一种新型的错误识别分类系统，可以动态的检测和划分受测系统的错误类型。此种错误识别分类系统具有在线学习能力，同时它的分布式特性又可以保证其对特称相似的错误类型进...
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| 关 键 词： | 免疫系统 错误识别 错误分类 仿生系统 |
Immunology Inspired Fault Detection and Identification Systems |
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| WENG Li-guo,XIA Min,ZHANG Kai,QIAO Zhu-han.Immunology Inspired Fault Detection and Identification Systems[J].Journal of System Simulation,2011,23(10):2216-2219. |
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| Authors: | WENG Li-guo XIA Min ZHANG Kai QIAO Zhu-han |
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| Institution: | WENG Li-guo1,XIA Min1,ZHANG Kai1,QIAO Zhu-han2(1.College of Information and Control Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China,2.School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China) |
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| Abstract: | The immune system is the living body's self-protection system and has several very interesting and desirable properties such as adaptability,robustness,and distributed cognition abilities.This research shows that immunological concepts can be used in engineering system designs.The immunology-inspired fault detection and identification system(FDIS) is able to detect and identify diverse system faults dynamically.The ability of the system to learn and classify overlapping faults using distributed sensing was ... |
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| Keywords: | immune system fault detection fault identification bio-inspired |
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