Tells the theory and algorithm about artificial immune system.
讲述了有关人工免疫系统的理论及算法。
This paper presents a Net Teaching Resource filtering model based upon artificial immune system.
提出了一个基于人工免疫机制的网络教学资源过滤模型。
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。
It introduced the biological models and the biological immune system models of the artificial immune system.
介绍了人工免疫系统的生物原型及生物免疫系统模型。
Artificial immune system is a new type of intelligent calculation that is inspired of biological immune system.
人工免疫系统，是受生物免疫系统的启发而产生的一种新型的智能计算方法。
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。
Artificial immune system is a novel information processing system inspired by immune system of human and other animals.
人工免疫系统是基于人类和其它高等动物免疫系统原理而提出的一种新的信息处理系统。
According to several important artificial immune system models, a general artificial immune system model frame is built.
介绍了几种重要的人工免疫系统模型，建立了一般人工免疫系统模型框架。
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。
The theories and methods of the artificial immune system is particularly applicable to the processing of network information.
人工免疫系统的理论与方法特别适用于网络信息的处理。
In the fourth chapter, there are a new model of artificial immune system for network security and some analysis about the model.
第四章提出了人工免疫网络安全模型，并对其进行一定的理论分析。
Fault diagnosis method based on resource limited artificial immune system (RLAIS) is researched for reciprocating compressor valves.
研究了基于资源有限人工免疫系统(RLAIS)的往复压缩机气阀故障诊断方法。
The experiment showed the function of the ability of recognition in artificial immune system. The methods and results were analyzed.
试验体现了识别力在免疫系统中的作用并且对试验方法和试验结果进行了分析。
It is discovered in researches that there is comparability between the problems on intrusion detection field and artificial immune system.
在研究中发现，入侵检测领域所遇到的问题和人工免疫系统所遇到的问题有很多相似性。
Currently in the research of artificial immune system, the clonal selection principle is commonly used in designing immune recognition algorithms.
人工免疫系统研究中大多借鉴克隆选择原理来构建免疫识别算法。
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 similarity of computer immunology and artificial immune system is presented. Then the paper discusses the application of AIS in the computer security.
并从理论上对生物免疫系统与计算机免疫系统的相似之处做了比较，然后对人工免疫系统在计算机安全中的应用做了进一步的阐述。
Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
人工免疫网络记忆分类器和人工免疫识别系统是两种人工免疫分类方法。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
The model of voltage stability of the power system based on artificial immune is advanced by application of principle of artificial immune system for the first time.
首次将人工免疫的原理引入预警领域，建立了基于免疫的电力系统电压稳定性预警模型。
We successfully apply it on a simple pattern recognition problem and exhibit the potential of the artificial immune system on the intelligent information retrieval system.
最后展望了将人工免疫系统这一新的机器学习机制应用到智能化信息检索系统中的前景。
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。
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 immunology principles on which Artificial immune System depends mainly include immune network theory, the principle of clonal selection and the principle of negative selection.
人工免疫系统所依据的免疫学原理主要包括免疫网络理论，克隆选择和阴性选择原理。
Artificial immune system analyses dimensionless indicators of time domain for concurrent failures, has drew a widespread law based on non-dimensional index for concurrent fault diagnosis.
人工免疫系统通过对多重并发故障时域无量纲指标进行分析研究，得到了一条基于无量纲指标并发故障诊断普遍适用的规律。
On the other hand, the artificial immune system in data mining mainly adopts the basic immune algorithms, which ignore the unique characters of the other immune mechanisms such as the immune networks.
目前对于基于人工免疫系统的数据挖掘技术的研究，多使用的是基本的免疫算法，而忽略了免疫网络模型等其它免疫机理所具有的独特优势。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
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