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。
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。
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。
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。
Based on the immune algorithm and geometric implication of the reliability index, a global optimization method was put forward to calculate the reliability index.
基于免疫算法原理和可靠度指标的几何涵义，提出了计算岩土工程可靠度指标和设计验算点的全局优化算法。
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。
In this paper, discuss a new algorithm which combines the immune algorithm and the ACA. Immune algorithm is used to set the parameters of the ACA in order to achieve great efficiency.
文中将免疫算法和蚁群算法相结合，即用免疫算法来求得蚁群算法中关键参数的较优组合，以增强蚁群算法的有效性。
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。
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 research results show that the adaptive immune algorithm of the Pearl curve has superiority and effectiveness for intellectuality prediction of tunnel engineering.
研究结果显示，基于皮尔曲线的自适应免疫算法在隧道工程智能预测应用中的优越性和实用性。
Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.
采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。
Tells the theory and algorithm about artificial immune system.
讲述了有关人工免疫系统的理论及算法。
Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.
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。
On the basis of research for anomaly detection in the biological immune principles, a gene immune detection algorithm for anomaly detection is provided.
基于生物免疫原理中的异常检测机制的研究，该文提出了一种用于异常检测的基因免疫检测算法。
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。
According to the properties of biological immune system, the paper presents an optimum design algorithm of PID parameter based upon immune evolution algorithm.
根据生物免疫系统的特性，提出一种基于免疫进化计算PID控制器参数的优化设计算法。
The method based on fussy immune network algorithm was presented, by which the flame digital images can be classified better.
提出了一种基于模糊免疫网络算法对火焰数字图像进行分类的研究方法。
The application of artificial immune algorithm to process data analysis can effectively extract useful data in-formation. The algorithm structure is very simple together with fast speed.
将人工免疫算法应用于过程数据的分类处理，能有效地提取数据的有用信息，而且算法简单，处理迅速。
Correctness and validity of the neural network object forecast algorithm and immune algorithm with evaluated antigen are tested by the simulation of varies examples.
通过对不同情况算例的仿真，验证了神经网络目标预测算法和基于抗原进化免疫算法的正确性和有效性。
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。
This paper proposed an algorithm based on immune evolution, the algorithm reflect the changing of the environment and satisfied the need of the fuzzy clustering.
本文提出了一只基于免疫进化的模糊更新算法，算法能够较好的体现环境的变化，使得更新后的模糊集更有利于模糊聚类的需要。
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。
The immune memory units guarantee this algorithm rapid convergence to global optimum and the uniform crossover operator embody the idea of evolution.
算法中的免疫记忆单元确保了快速收敛于全局最优解，算法中的均匀交叉操作则体现了进化的思想。
The immune memory units guarantee this algorithm rapid convergence to global optimum and the uniform crossover operator embody the idea of evolution.
算法中的免疫记忆单元确保了快速收敛于全局最优解，算法中的均匀交叉操作则体现了进化的思想。
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