Immune algorithm is a stochastic heuristic optimization algorithm.
免疫算法是一种新型的随机启发式搜索算法。
Based on the immune algorithm, an adaptive immune algorithm is proposed.
基于免疫算法的基本原理，提出了一种自适应免疫算法。
Mind Evolutionary Algorithm is organically combined with Immune Algorithm.
论文将思维进化算法和免疫算法二者有机结合。
Immune algorithm has become a hotspot in the area of computational intelligence.
免疫算法已开始成为计算智能研究的一个热点。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
该算法为基于克隆选择原理的人工免疫算法。
The mathematic model and basic procedure of immune of immune algorithm were stated.
叙述了免疫算法的数学模型和基本步骤。
Firstly, put forward the Adaptive Immune Algorithm and put it in multi-user detection.
首先，提出一种自适应免疫算法，并用于多用户检测。
An immune algorithm based on parthenogenetic operators is proposed for solving the model.
构造出一种基于单亲遗传算子的免疫算法用于求解此模型。
This paper proposed to use immune algorithm based on real-number-coding to extract quadric surface.
提出了基于实数编码免疫算法针对离散数据点进行二次曲面提取的方法。
Immune algorithm is a kind of intelligent learning algorithm which simulates the biology immunity systems.
免疫算法是模拟生物免疫系统功能的一种智能学习算法。
In this paper, all of our work surrounds the applications of immune algorithm in cellular wireless location.
本论文的所有工作都是围绕着免疫算法在蜂窝网无线定位技术中的应用展开的。
The immune algorithm has better global convergence and very strong self-adaptive ability to the environment.
免疫算法具有较好的全局收敛性和很强的自适应环境的能力。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
本文提出了一种改进的免疫算法，对蜂窝网络无线定位估计中的非线性优化问题进行求解。
Based on the immune algorithm, an optimizing method is presented which is used to search the weights of B-P network.
提出了一种基于免疫算法的B -P网络权值设计方法，用于实现B - P网络权值空间的搜索。
The research of the Parallel Immune Algorithm application will help to solve other combinatorial optimization problems.
并行免疫算法的应用研究将有助于其他组合优化问题的解决。
In light of sequence images' relevance we have utilized immune algorithm to segment object's moving areas and form object templates.
还结合序列图像的相关性，运用免疫计算方法，分割出目标运动区域，形成目标模板，然后在运动序列的各帧动态更新模板。
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。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory.
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。
Immune algorithm is a completely new method band together with the principle of life-form evolution, optimization technique and computer technique.
免疫算法是一种生物进化原理、最优化技术和计算机技术相结合的全新算法。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
结合改进的免疫算法和最小二乘法，提出了一种设计径向基函数(RBF)网络的两级学习方法。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理，提出了基于抗体浓度的克隆选择算法。
This article chooses the immune algorithm as the basic method to resolve the problem and USES Monte Carlo simulation to transform the risk restriction.
本文选择了免疫算法作为基本算法求解模型，并使用蒙特卡罗方法对风险约束进行转化。
A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数（RBF）网络，并将其应用于雷达天线扫描方式识别系统。
Results show that the immune algorithm neural network model can predict variety rule of oil gas better and has higher accuracy than that of neural network.
结果表明，该智能预报模型能够较好地识别油气扩散的变化规律，预报精度明显高于神经网络模型。
Chapter 3 showed designing methods and simulation of immune algorithm for multi-dimension education agent, and analyzed roles of immunity to network security.
第3章具体介绍了多维教育艾真体的免疫算法的设计方法和仿真实验，分析了免疫性对网络安全的贡献。
In this paper, the dynamic zoning model of elevator traffic was clearly outlined, and the artificial immune algorithm for the dynamic zoning model was designed.
剖析了电梯交通的动态分区模型，设计了动态分区模型的人工免疫算法，并对之做了比较仿真研究。
An introduction of immune algorithms is offered, and the comparison of the characteristics of the immune algorithm with those of other uncertain algorithms is made.
首先对免疫算法作了介绍，并与其它非确定性算法进行了比较，随后介绍了现有的几种免疫算法及其实现步骤、应用情。
An introduction of immune algorithms is offered, and the comparison of the characteristics of the immune algorithm with those of other uncertain algorithms is made.
首先对免疫算法作了介绍，并与其它非确定性算法进行了比较，随后介绍了现有的几种免疫算法及其实现步骤、应用情。
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