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.
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.
用神经网络构造机器人周围环境及障碍物的描述模型，用免疫进化算法寻找最佳路径。
Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
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.
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。
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.
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.
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。
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.
为了提高入侵检测系统的网络环境适应能力，提出了一种基于多级免疫检测器集的分布式入侵检测模型。
To improve the network environment adaptation ability of intrusion detection, a distributed intrusion detection model based on multi-level immune detector set is presented.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有的实验验证了其具有良好的无监督竞争学习能力。
The Antibody Network (ABNET), which is a new ANN based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
然后分析了传统病毒传播模型在网络上的应用，并通过仿真实验得到了各个免疫策略的结果对比图。
Then we analyze the traditional model of virus spread on the network's application, and get the simulation experiment results of various immunization strategy.
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.
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。
Based on idiotypic immune network theory, a Regional-memory-pattern Artificial idiotypic network (RAIN) is proposed to classify multi-spectral remote sensing image.
将免疫算法与神经网络理论相结合，提出了免疫神经网络预报模型，以预报油库油气浓度。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
该模型首先用历史数据对网络进行训练，然后利用训练好的模型进行油气浓度的趋势预测，最后结合某油气预报实例检验了免疫神经网络模型的可行性。
First of all, the network is trained by history data, then the model is used to predict the general development trend of oil gas, finally the oil gas thickness is predicted.
通过对人类免疫系统工作原理的研究，根据其原理、体系结构建立了一个基于免疫原理的网络入侵检测系统模型。
Through the research on the operating principle of human immune system, a NIDS model was given based on its principle and architecture.
传统的度免疫模型有一定的盲目性，没有考虑感染节点的位置，对整个网络中度高的节点进行免疫。
Traditional intentional immunization based on degree does not take the positions of infected nodes into account, but just protects the nodes which have high degree.
本文在传统的静态防御模型上提出了具有免疫特性的动态的网络安全模型。
This paper propose a dynamic network security model with immune character. This model bases on the traditional static defense 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.
在此基础上结合神经网络理论，建立了基于免疫和神经网络综合评判的智能评判网络防御效果仿真模型，根据该模型可以对网元的网络防御效果进行定性化计算研究。
The simulation model of network defense effect evaluated by intelligence, which is comprehensive evaluated by combining the theories of immunity and neural networks, is modeled based on the tactic.
系统辨识是基于免疫RBF神经网络，用于故障检测的残差是通过对系统的模型输出与系统的实际输出的在线比较得到的。
The system identification is based on immune strategy RBFNN, and the residuals are generated by on-line comparing the system model outputs with the actual system outputs.
系统辨识基于免疫r BF神经网络，用于故障检测的残差是通过对系统的模型输出与系统的实际输出进行在线比较得到的。
The system identification was based on immune strategy RBFNN, and the residuals were generated by on-line comparing the system model outputs with the actual system ones.
第二部分：讨论了加权网络的同步能力与权重之间的对应关系，以及网络传播模型和免疫策略。
Part II: the relation between the synchronous ability of weighted network and strength is researched, also the network spread model and immunization strategy are researched too.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
提出了基于免疫机制的网络入侵检测系统模型，将CPK可信认证技术应用到该模型中，提出了特征提取分析方法；
Using the similarity of the vaccine injection technology, the CPK attestation algorithm applies into network intrusion detection system based on immune mechanism.
另外，模型自动更新了基于免疫的模糊规则，从而可以提高检测新的网络入侵的能力。
Besides, the model updates fuzzy rules based on immune automatically and constantly to improve the ability of detecting new intrusions.
另外，模型自动更新了基于免疫的模糊规则，从而可以提高检测新的网络入侵的能力。
Besides, the model updates fuzzy rules based on immune automatically and constantly to improve the ability of detecting new intrusions.
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