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。
For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
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。
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