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 method based on fussy immune network algorithm was presented, by which the flame digital images can be classified better.
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。
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.
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.
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.
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。
A two-level learning method combining improved immune algorithm and least square method was proposed to design a radial basis function (RBF) network.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出利用免疫算法确定网络数据属性的权重值的设计方法。
To determine weight of network data attributes using immune algorithms is 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.
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.
最后研究了基于克隆选择算法和人工免疫网络的模拟故障诊断方法。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
提出基于ART和免疫网络聚类的入侵检测算法。
The algorithm of intrusion detection based on ART and artificial immune network is proposed in this paper.
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。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
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。
A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system.
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。
An improved immune algorithm is put forward and applied for nonlinear optimization in cellular wireless location.
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。
Chapter 3 showed designing methods and simulation of immune algorithm for multi-dimension education agent, and analyzed roles of immunity to network security.
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。
This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is studied.
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.
把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
在此基础上， 对现有的基于人工免疫的网络入侵检测算法进行分析比较，针对线性时间检测器生成算法的不足作了改进。
Then it analyzes and compares the existing network intrusion detection algorithm based on artificial immune, and improves the linear time detector generating algorithm for the deficiency.
通过对基于生物免疫理论的G-T算法和线性时间算法的介绍，提出了多特征匹配算法并将其应用于网络入侵检测系统中。
Multi-properties match algorithm is presented and applied in NIDS by introducing G-T algorithm and linear-time algorithm based on biological immune theory.
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.
这种均衡器引入了判决反馈均衡器的结构，并采用免疫算法确定RBF网络隐层（非线性层）的结构和参数。
The equalizer is constructed with decision feedback structure, and an immune algorithm is used to determine the structure and parameters of RBF nonlinear hidden layer.
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。
Based on the immune algorithm, an optimizing method is presented which is used to search the weights of B-P network.
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.
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.
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.
应用推荐