...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14个网页-相关网页
...工大学》2009年硕士论文 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2个网页-相关网页
An improved nearest neighbor clustering algorithm for RBF(Radial basis function) neural network is presented and applied to the prediction of stock market.
提出了一种改进的 RBF (Radial Basis Functions,径向基函数 )神经网络最近邻聚类学习算法 ,并将其应用于股市预测问题。
参考来源 - 改进的神经网络最近邻聚类学习算法及其应用The PCA algorithm is used to deduce the input dimension of RBF neural networks and predigest model complexity. The RBF neural network is trained by the nearest neighbor-clustering algorithm.
主元分析法用来对神经网络模型输入进行降维处理,简化模型复杂度;RBF神经网络采用最近邻聚类学习算法进行训练。
参考来源 - 粗糙集—神经网络智能系统在浮选过程中的应用研究After researching and analyzing the existing clustering algorithms, we presented two clustering algorithms based on genetic algorithm and based on the nearest neighbor clustering respectively.
本文对现有的聚类算法作了深入的研究,通过具体的分析后,提出了基于遗传算法和基于最近邻聚类的聚类方法。
参考来源 - 聚类算法及其在污水处理工艺故障诊断中的应用研究·2,447,543篇论文数据,部分数据来源于NoteExpress
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.
该模型首先采用改进的最近邻聚类算法确定径向基函数中心,接着应用递推最小二乘法训练网络的权值。
The model USES an improved nearest-neighbor clustering algorithm to select the RBF center, and a recursive least square algorithm to train weights of the RBF neural network.
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.
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