In order to prevent neural network learning from getting into local extreme point, artificial immune network algorithm was used to optimize neural network's parameters.
为了避免神经网络的学习过程陷入局部极值点，采用人工免疫网络优化神经网络的参数。
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.
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。
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.
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。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
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。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
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。
Based on the in-depth analysis of the immune mechanism, two kinds of classification algorithm based on artificial immune network are proposed in this paper.
本文在深入分析免疫机理工作方式的基础上，提出了两种基于人工免疫网络的分类算法。
A new key frame extraction algorithm based on evolutionary artificial immune network is proposed in this paper.
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。
The algorithm of intrusion detection based on ART and artificial immune network is proposed in this paper.
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.
提出基于ART和免疫网络聚类的入侵检测算法。
应用推荐