结合进化计算提出了免疫进化算法。
Propose immune evolution algorithm integrated with evolution computation.
在模型参数的求解过程中将用到免疫进化算法。
Immune evolutionary algorithm will be used in the process of solving the model parameters.
利用免疫进化算法，提出了一种新的模糊控制器优化设计方法。
By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
介绍采用基于免疫进化算法的神经网络对雷达信号分选的实现方法。
The paper realizes the sorting of radar signal by the ANN based on immune evolutionary algorithms.
结果表明，免疫进化算法不仅参数设置简单，而且拟合结果明显好于其它方法。
The result indicated that the immunization evolving algorithm not only has the simple parameters and also the fit result is best than other methods.
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.
根据生物免疫系统特性，提出了一种基于免疫进化算法的PID控制器参数自整定方法。
In accordance with biological immune-system characteristics the authors have come up with a method of self-tuning PID controller parameters on the basis of an immune evolutionary algorithm.
最后对机器人的路径规划进行了研究，将神经网络和免疫进化算法共同应用于机器人的路径规划。
Finally researches the path planning of robot, applies both neural network and immune evolution algorithm to the path planning of robot.
免疫进化算法是在深入理解现有进化算法的基础上，受生物免疫机制的启发而形成的一种新的优化算法。
Immune evolutionary algorithm is a new optimization algorithm inspired by biological immune mechanism based on the deep understanding of the existing evolutionary algorithm.
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。
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.
分析了传统水位流量关系曲线拟合过程中存在的问题，在此基础上应用免疫进化算法直接拟合水位流量关系曲线。
On the basis of problems existed in fit for relation curve of water level and discharge, the relation curve of water level and discharge is fitted directment by immunization evolving algorithm.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
基于免疫进化算法，提出了一种设计径向基函数(RBF)网络的新算法——免疫径向基函数网络(IRBF)训练算法。
Based on immune evolutionary algorithm, a novel radial basis function (RBF) designing algorithm, the immune RBF (IRBF) network, was proposed.
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。
A new key frame extraction algorithm based on evolutionary artificial immune network is proposed in this paper.
对各部分改进的原因和优点进行了分析，给出了算法的主要步骤，并对自适应免疫进化规划的收敛性进行了说明。
The analysis of reasons and merits for improved part were proposed. The main steps of the algorithm were given and the convergence of adaptive immune evolutionary programming were formulated.
在算法进化过程中，引入克隆复制算子、免疫基因算子、克隆选择算子。
Clone copy operator, immune gene operator and clone selection operator were performed during the evolutionary.
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。
Immune algorithm is a completely new method band together with the principle of life-form evolution, optimization technique and computer technique.
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.
利用一种免疫进化策略算法来求解二次布局问题。
This paper USES an immune evolution strategy to solve quadratic assignment problems.
根据免疫学研究中抗原与抗体同时进化的特性，通过对动目标预测系统特点的分析，提出一种改进的免疫算法。
Based on the property that antigen and antibody are evolving simultaneously in immunology, an improved immune algorithm is presented through analysis of moving object forecast system.
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。
According to the properties of biological immune system, the paper presents an optimum design algorithm of PID parameter based upon immune evolution algorithm.
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。
Correctness and validity of the neural network object forecast algorithm and immune algorithm with evaluated antigen are tested by the simulation of varies examples.
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。
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.
方法以统计学的正态分布与中心极限定理为理论基础，结合免疫进化的思想，提出免疫控制图原理及学习算法；
MethodsBased on the theory of normal distribution and central limit theorem of the statistics, the immune control chart is proposed, which combines the immune idea.
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.
接着重点探讨了结合免疫进化和协同进化算法的单机器人和多机器人路径规划问题。
Afterwards, a new robot path planning method and a new multi-robots path planning method proposed by author and integrated by the virtue of immune operation and coevolutionary.
接着重点探讨了结合免疫进化和协同进化算法的单机器人和多机器人路径规划问题。
Afterwards, a new robot path planning method and a new multi-robots path planning method proposed by author and integrated by the virtue of immune operation and coevolutionary.
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