...优化研究-期刊文摘-论文中国 类算法(Pruning Technique Subtractive Clustering,PTSC)和最近邻聚类(Nearest Neighbor Clustering,NNC)算法相结合的算法(PTSC-NNC)。仿真结果表明该算法训练的神经网络收敛速度快,逼近能力强。
基于4个网页-相关网页
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
应用推荐