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。
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。
This paper proposes two modified negative selection algorithm through the reference of fuzzy mathematics, applied to different intrusion detection environment.
本文借鉴模糊数学思想提出两种改进的否定选择算法，分别适用于不同的入侵检测环境。
But there are still some problems on real-valued negative selection algorithm, such as needing large amounts of time in generating detectors and setting the position of detectors.
但是实值负选择算法仍然存在着一些问题，比如：产生检测器和设置检测器位置需要消耗大量的时间。
To improve the performances of detectors, the real-valued negative selection algorithm was proposed by improving detector generation algorithm based on the negative selection algorithm.
为了提高检测器的性能，在负选择的基础上改进检测器生成算法而产生了实值负选择算法。
The algorithm mainly utilized clonal selection and negative selection principles to learn the characteristics of antigens.
该方法主要利用克隆选择和阴性选择原理来学习抗原的特性，实现对抗体的促进和抑制。
How to effectively generate detectors is one of the important problems of negative selection algorithm and its practicability.
检测器生成是非选择算法的关键步骤。
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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