Fuzzy idea was used to bring forward an adjustable threshold immune negative selection algorithm of creating the most effective detector set based on defining fuzzy similarity and deviation.
利用模糊思想，在定义了模糊相似度与背离度的基础上，提出了一种生成最有效检测器集的变阈值免疫阴性选择算法。
To increase antibody generating speed in artificial immune system, a chaos negative selection algorithm was presented which is based on the chaotic character of immune system.
为了提高人工免疫系统中抗体生成速度，基于免疫系统的混沌特征，提出了混沌否定选择算法。
The negative selection algorithm for an artificial immune system was used to detect vibration signals.
该文对人工免疫系统中的负向选择算法进行探讨。
The shortcoming of binary negative selection algorithm and the excellence of real value coding based on the negative selection mechanism of artificial immune systems is analysed.
在人工免疫系统反向选择机理的基础上，分析了二进制反向选择算法的缺点及采用实值编码的优点。
In chapter 4, negative selection mechanics in immune system and negative selection algorithm are studied.
第四章分析了免疫系统阴性选择机理及已有的阴性选择算法。
In the artificial immune based intrusion detection systems, mature detectors complete the tolerance and generation process mainly by negative selection algorithm currently.
目前在基于人工免疫的入侵检测系统中，成熟检测器的耐受和生成过程主要采用否定选择算法实现。
This paper analyses mechanisms needed for a negative selection algorithm in an artificial immune system and defines fuzzy similarity using fuzzy logic.
利用模糊思想，在定义了模糊相似度与背离度的基础上，提出了一种生成最有效检测器集的变阈值免疫阴性选择算法。
The shortcoming of binary negative selection algorithm and the excellence of real value coding based on the negative selection mechanism of artificial immune systems is analysed.
基于人工免疫系统带变异的否定选择算法的思想，对滑坡监测数据进行处理，根据部分匹配原则产生检测器，寻找滑坡突变点。
The shortcoming of binary negative selection algorithm and the excellence of real value coding based on the negative selection mechanism of artificial immune systems is analysed.
基于人工免疫系统带变异的否定选择算法的思想，对滑坡监测数据进行处理，根据部分匹配原则产生检测器，寻找滑坡突变点。
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