针对该问题提出一种基于人工免疫网络的入侵检测模型。
To solve this problem, this paper proposes a model which is based on the immune network.
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.
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。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
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。
Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
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 Shape-Space model of AIS and the Artificial Immune Network (AIN) model based on binary-coding are detailed subsequently.
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。
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.
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。
As a new computational intelligence method, the Artificial Immune Network (AIN) is widely applied to pattern recognition and data classification.
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。
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.
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。
Artificial immune network clustering is often ineffective when there is noise or undefined cluster boundary in the data.
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。
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.
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。
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.
本文提出尝试用人工免疫网络这一新兴的软计算技术为智能化信息检索模型中的知识库参数调整提供解决之道。
This paper tries to provide a solution for the parameters adjustment in the intelligent information retrieval model, by using the new soft computing technology artificial immune networks.
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。
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。
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.
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。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
研究人工免疫系统，不仅对计算机病毒防治、网络安全等具有重要的实用价值，对人工智能研究也具有深远的理论价值。
The study of artifical immune system not only has the important practical value in defence from computer virus, but also has the profound theory value in artifical intelligence research.
提出了一个基于人工免疫机制的网络教学资源过滤模型。
This paper presents a Net Teaching Resource filtering model based upon artificial immune system.
人工免疫学是继神经网络、进化计算之后新的智能计算研究领域和研究热点。
Artificial Immunology is a novel intelligent computing research field and research hotspot after artificial neural network and evolutionary computation.
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。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
重点研究了人工免疫系统中的免疫进化网络。
Artificial immune network is made as the emphasis of our investigation.
基于人工免疫的入侵检测技术是网络安全的一个新兴研究领。
The intrusion detection technique based on artificial immune theory is a new research area.
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 thesis analyzes and researches the network security, the biologic immune system, intrusion detection and the network intrusion detection based on artificial immune firstly.
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 immunology principles on which Artificial immune System depends mainly include immune network theory, the principle of clonal selection and the principle of negative selection.
其次，分析了人工免疫系统和贝叶斯网络的基本原理。
Secondly, the paper analyses the basic principle AIS and Bayes network.
人工免疫系统应用研究主要包括网络安全领域和优化计算等领域。
AIS application researches mainly focus on computer network security and optimize computation, etc.
人工免疫系统的理论与方法特别适用于网络信息的处理。
The theories and methods of the artificial immune system is particularly applicable to the processing of network information.
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。
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.
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。
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。
Necessary to study new intelligent detection technology, neural network and artificial immune method are the study hot.
应用推荐