Artificial immune network is made as the emphasis of our investigation.
重点研究了人工免疫系统中的免疫进化网络。
The algorithm of intrusion detection based on ART and artificial immune network is proposed in this paper.
提出基于ART和免疫网络聚类的入侵检测算法。
A new key frame extraction algorithm based on evolutionary artificial immune network is proposed in this paper.
本文在分析现有关键帧提取算法的基础上提出了基于进化免疫网络的关键帧提取方法。
Artificial immune network clustering is often ineffective when there is noise or undefined cluster boundary in the data.
当数据集聚类边界不清晰或存在噪声干扰时，人工免疫网络聚类算法通常无法获得有效的聚类划分。
The Shape-Space model of AIS and the Artificial Immune Network (AIN) model based on binary-coding are detailed subsequently.
进而详细介绍了人工免疫系统的形态空间模型和人工免疫网络的二进制模型。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
最后研究了基于克隆选择算法和人工免疫网络的模拟故障诊断方法。
As a new computational intelligence method, the Artificial Immune Network (AIN) is widely applied to pattern recognition and data classification.
作为一种新的智能计算方法，人工免疫网络已被广泛的应用到模式识别以及数据分类中。
Based on the in-depth analysis of the immune mechanism, two kinds of classification algorithm based on artificial immune network are proposed in this paper.
本文在深入分析免疫机理工作方式的基础上，提出了两种基于人工免疫网络的分类算法。
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。
The results show that we can pick out the useful clusters efficiently by combining the artificial immune network with the traditional statistics and analysis tool.
实验表明，通过人工免疫网络与传统统计分析工具的结合，能够有效地从数据集合中提取有用的聚类。
In order to prevent neural network learning from getting into local extreme point, artificial immune network algorithm was used to optimize neural network's parameters.
为了避免神经网络的学习过程陷入局部极值点，采用人工免疫网络优化神经网络的参数。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
It is tested on the UCI standard data sets and compared with AIRS and the other classical classifiers. The aim is to research the performance of classifier based on artificial immune network.
在UCI标准数据集合上进行测试，与airs和其他传统分类器进行比较，目的是研究基于人工免疫网络原理的数据分类方法的性能。
The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有实验验证了其具有良好的无监督竞争学习能力。
Then it analyzes and compares the existing network intrusion detection algorithm based on artificial immune, and improves the linear time detector generating algorithm for the deficiency.
在此基础上， 对现有的基于人工免疫的网络入侵检测算法进行分析比较，针对线性时间检测器生成算法的不足作了改进。
Based on idiotypic immune network theory, a Regional-memory-pattern Artificial idiotypic network (RAIN) is proposed to classify multi-spectral remote sensing image.
摘要基于独特型免疫网络原理，提出了一种新型的分区记忆模式人工独特型网络模型，并利用其对卫星遥感数据进行了分类。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。
The thesis analyzes and researches the network security, the biologic immune system, intrusion detection and the network intrusion detection based on artificial immune firstly.
本文首先对网络安全、生物免疫系统、入侵检测以及基于人工免疫的网络入侵检测进行分析研究。
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。
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。
Necessary to study new intelligent detection technology, neural network and artificial immune method are the study hot.
需要研究新的智能检测技术，其中神经网络方法和人工免疫方法是研究的热点。
The approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
This approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
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。
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。
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