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。
To solve this problem, this paper proposes a model which is based on the immune network.
针对该问题提出一种基于人工免疫网络的入侵检测模型。
By using immune network principle, a behavior arbitration system is built to select behavior.
借鉴免疫网络的原理，构建了一个行为仲裁系统，对行为单元进行协调。
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。
This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
提出了一种动态克隆选择算法和免疫网络相结合的新入侵检测算法。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
提出一种基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法。
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.
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 clonal selection principle and idiotypic immune network theory of biological immune system, a dynamic clonal adjustment strategy (DCAS) is proposed.
摘要基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略(DCAS)。
Based on the clonal selection principle and idiotypic immune network theory of biological immune system, a dynamic clonal adjustment strategy (DCAS) is proposed.
基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略(DCAS)。
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。
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。
The results indicate that abnormality in regulating function of neuroendocrine-immune network may play a very important role in the pathogenesis of the primary epilepsy.
结果提示，神经内分泌免疫网络调节功能变化在原发性癫痫的发病机理中可能有一定地位。
By simulating the antibody search mechanism, and combining the immune network theory, a new immune learning algorithm for multi-modal function optimization was presented.
模拟抗体搜索机制，结合免疫网络理论，提出一种新的优化算法。
While the clonal selection principle is responsible for generating the memory cell population, the immune network theory prevents the population size from increasing quickly.
克隆选择用来产生抗原的记忆细胞群体，免疫网络理论则用来抑制该群体规模的快速增长。
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。
Referred to the character of particle swarm optimization and immune network theory, an immune particle swarm network algorithm for multimodal function optimization is proposed.
针对多峰函数优化问题，借鉴粒子群优化特性和免疫网络理论，提出一种免疫粒子群网络算法。
Based on biologic immune system, this paper summarizes the bionics mechanism of immune optimization, while clonal selection and immune network theories are discussed detailedly.
本文以生物免疫系统为基础，概述免疫优化的仿生机理，重点介绍了克隆选择和免疫网络理论。
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。
To effectively monitor the concentration of ozone in the air, and streamline its operating process, a novel model based dynamic immune network for monitoring ozone concentration is presented.
为了有效监测空气中臭氧的浓度，简化其操作过程，提出了一种基于动态免疫网络原理的臭氧浓度监测模型。
Multi-Granularity Immune Network;
多粒度免疫网络；
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。
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。
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。
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。
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