最近邻聚类算法,nearest neighbor clustering algorithm英语短句,例句大全

最近邻聚类算法,nearest neighbor clustering algorithm
1)nearest neighbor clustering algorithm最近邻聚类算法
1.Forecasting models are established by using radial basis function(RBF) neural network based on nearest neighbor clustering algorithm(NNCA) and autoregressive integrated moving average(ARIMA).根据基于最近邻聚类算法(NNCA)的径向基(RBF)神经网络和自回归求和滑动平均(AR IMA)两种方法,建立了各自的单项预测子模型,并利用RBF神经网络对两个单项预测子模型结果进行组合预测,得到最终的预测值。
2.By analyzing nearest neighbor clustering algorithm, a new nearest neighbor clustering algorithm is proposed.在分析现有最近邻聚类算法所存在问题的基础上,提出了一种先利用均值规格化的思想来确定算法的初始半径,然后根据启发式规则修改聚类半径的新的最近邻聚类算法。
3.The new algorithm brings in the Nearest Neighbor Clustering Algorithm to initialize the number and center of clustering.该算法引入了最近邻聚类算法来初始化FCM算法的聚类数和聚类中心。

英文短句/例句

1.The design of a multiplexed controller for use with a nonlinear system based on dynamic nearest neighbor-clustering algorithm for RBF neural networks一种基于动态最近邻聚类算法RBF网络非线性系统复合控制器设计
2.Novel attribute discretization algorithm based on nearest neighbor-clustering新的基于最近邻聚类的属性离散化算法
3.An Improved Adaptive K Near Neighbor Clustering Algorithm一种改进的自适应K近邻聚类算法
4.Study on KNN arithmetic based on cluster基于簇的K最近邻(KNN)分类算法研究
5.Algorithm Research on Nearest Neighbor Query and Reverse Nearest Neighbor Query最近邻查询和反最近邻查询算法研究
6.Design and Analysis on Iterative Optimization Clustering Algorithm Based on Neighbourhood基于邻域的迭代最优化聚类算法的设计与分析
7.Algorithm and Simulation of SVM Classifier Based on KNN Judgment基于K最近邻决策的支持向量机分类算法及仿真
8.Multi-target tracking based on cluster min-distance data association基于聚类最近数据关联的多目标跟踪算法
9.Predicting outer membrane proteins based on kernel nearest neighbor algorithm预测外膜蛋白的核最近邻算法(英文)
10.Kernel nearest neighbour algorithm for predicting protein-protein interactions蛋白质相互作用预测的核最近邻算法
11.Detecting community structure based on shared nearest neighbor基于共享最近邻探测社团结构的算法
12.Research on k-nearest NeighBor Search Algorithm in P2PP2P环境中k最近邻搜索算法研究
13.An application of K-nearest neighbor algorithm for the teaching of web page classificationK近邻算法在教学网页分类中的应用
14.New Non-hierarchical Clustering Objetives and the Algorithms to Optimal Clustering;动态聚类新方法及最优聚类算法研究
15.Subspace Clustering Algorithm Based on k Most Similar Clustering基于k最相似聚类的子空间聚类算法
16.Improvement of identified adjacent object on ant colony clustering algorithm蚁群聚类算法中确定相邻对象方法的改进
17.An Ameliorated SYM Classifying Algorithm Combined with kNN一种改进的结合K近邻法的SVM分类算法
18.Proximal Point Algorithms and Applications in Optimization;邻近点算法及其在最优化问题中的应用

相关短句/例句

Nearest neighbor-clustering algorithm最近邻聚类算法
1.The RBF network based on improved nearest neighbor-clustering algorithm is introduced at first.应用基于最近邻聚类算法的径向基函数(RBF)网络建立了军用无人机研制费用预测模型,并采用该模型对某型军用无人机研制费用进行了预测。
2.The nearest neighbor-clustering algorithm has a short training time,less work to calculate and the number of hidden units is not to be determinated in advance in the various RBFNN learning algorithms,the network is optimization after clustering and can be trained on-line,it is an adaptive clustering algorithm for nonlinear real-time system.在RBF神经网络的各种学习算法中,最近邻聚类算法学习时间短、计算量小,不需要事先确定隐单元的个数,完成聚类所得到的网络是最优的,并且可以在线学习,是一种自适应聚类学习算法,非常适合非线性实时系统的应用。
3)nearest neighbor-clustering algorithm最近邻聚类学习算法
4)dynamic nearest neighbor clustering algorithm动态最近邻聚类算法
5)nearest neighbor-clustering method最近邻聚类法
1.Adopting a hybrid learnging algorithm,which combines the nearest neighbor-clustering method with the gradient descent method,to construct a RBF neural network,the controlled objects can be identified on-line and the parameters of PID master controller can be adjusted on-line.采用一种最近邻聚类法和梯度下降法相结合的混合学习算法构造RBF神经网络,在线辨识被控对象并对PID主控制器参数进行在线调整。
6)nearest neighbor clustering最近邻聚类
1.Moreover,the nearest neighbor clustering algorithm is adopted,and a second clustering algorithm is presented to overcome the sensitivity of the nearest.聚类采用最近邻聚类算法,并提出第二次聚类算法来改进最近邻算法对输入次序敏感的问题。
2.A new method for fuzzy modeling based on a nearest neighbor clustering and vector fuzzy c-means algorithm(FCMV) is presented.其前提参数辨识分两步,首先用最近邻聚类法初始划分输入空间,得到规则数及初始聚类中心,再用FCMV把具有相同收敛向量的聚类中心归到同一个区域来优化前一步得到的聚类中心,得到前提参数;采用递推最小二乘算法辨识模型的结论参数。
3.The algorithm for s electing the radial basis function center is the nearest neighbor clustering al gorithm.将 RBF神经网络应用在股市趋势预测中 ,RBF网络中心点的选取采用最近邻聚类学习算法 ,以上证指数和基金裕阳为对象进行建模与预测 ,结果表明 ,此种网络具有较好的学习和泛化能力 ,在股市趋势预测中取得了较好的效果。