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。
An artificial immune system studied the principle and some fine features of a biological immune system.
人工免疫是对生物免疫系统的工作机理及所具有各种优良特性的模拟。
Referring to immune optimization mechanism, an artificial immune system for time-varied functions optimization is presented.
借鉴生物免疫系统优化机理，构造一种人工免疫系统，用于求解时变函数优化问题。
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。
This paper proposes an antibody clone algorithm which based on the clonal selection theory of artificial immune system.
在人工免疫系统的克隆选择原理基础上，提出了一种抗体克隆算法。
Immune detection algorithms are an important part of research of artificial immune system.
仿生物免疫检测算法是人工免疫系统研究的一个重要的组成部分。
According to the work of former researchers, this paper designs an artificial immune model for intrusion detection, which is inspired by a human immune system and based on agent technique.
本文在前人研究成果的基础上，以人体免疫学的思想为指导，应用主体技术，设计了一个人工免疫模型，并根据此模型构建了一个入侵检测系统——基于人工免疫模型的入侵检测系统。
Artificial immune system (AIS), an emerging intelligent method, is a calculation model designed on the basis of biological immune system's functions, features and mechanisms.
人工免疫系统是目前新兴的一种智能方法，它是以生物免疫系统的功能、特点和作用机理为基础而设计出的计算模型。
Artificial immune system (AIS), an emerging intelligent method, is a calculation model designed on the basis of biological immune system's functions, features and mechanisms.
人工免疫系统是目前新兴的一种智能方法，它是以生物免疫系统的功能、特点和作用机理为基础而设计出的计算模型。
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