| 基于免疫和模糊模式识别的检测器生成模型 |
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| 引用本文： | 陈贤富,路烽.基于免疫和模糊模式识别的检测器生成模型[J].计算机仿真,2009,26(3). |
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| 作者姓名： | 陈贤富 路烽 |
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| 作者单位： | 中国科技大学电子科学与技术系,安徽,合肥,230027 |
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| 摘 要： | 分析了在检测器生成过程中引入模糊模式识别的原因,提出了一种基于免疫原理和模糊模式识别的检测器生成模型,该模型的核心算法是基于隶属度的检测器选择算法.详细描述了该算法的算法流程和检测器对非我抗原集合隶属度的计算算法,并简述了初始检测器生成算法和分层检测策略.设计了仿真试验,并将实验结果同传统方法进行了比较,详述了仿真实验中各个参数选择的依据和理由,试验结果表明新模型呈现较高的检测率和低的误检率.
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| 关 键 词： | 检测器生成 人工免疫 模糊模式识别 隶属度 |
A Model of Detector Generation Based on Immune and Fuzzy Pattern Recognition |
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| CHEN Xian-fu,LU Feng.A Model of Detector Generation Based on Immune and Fuzzy Pattern Recognition[J].Computer Simulation,2009,26(3). |
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| Authors: | CHEN Xian-fu LU Feng |
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| Affiliation: | Department of electronic Science and Technology;University of Science and Technology of China;Hefei Anhui 230027;China |
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| Abstract: | Based on fuzzy pattern recognition and artificial immune,a new model for detector generation was proposed.The reason of introducing fuzzy pattern recognition into detector generation was specified.The core algorithm of this model is detector selection algorithm which is based on degree of membership.An algorithm for computing degree of membership between detector and non-self antigen set was specified and initial detector generation algorithm was proposed.Simulation results suggest how to choose appropriate... |
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| Keywords: | Detector generation Artificial immune Fuzzy pattern recognition Degree of membership |
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