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。
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