减法聚类法,subtraction clustering英语短句,例句大全

减法聚类法,subtraction clustering
1)subtraction clustering减法聚类法
1.On the research of subtraction clustering,fuzzy C-means clustering and the rule of maximum membership value, they are applied to parts group decision and modified properly in order to deal with the fuzziness of mechanical parts group decision and accord with the fact.在充分研究减法聚类法、模糊C均值聚类法和最大隶属度原则的基础上,针对机械零件分组中的模糊性,将以上的方法或者原则应用到其中,并结合工程实际情况作适当修改,使其更符合工程实际。
2)Subtractive clustering减法聚类
1.BOF end-point temperature prediction model of fuzzy neural network system with subtractive clustering;基于减法聚类的模糊神经网络转炉终点温度预报模型
2.Design of hierarchical fuzzy systems based on subtractive clustering and adaptive neuro-fuzzy inference systems;基于减法聚类和自适应神经模糊推理系统的递阶模糊系统的设计
3.An integrated method was proposed by combining subtractive clustering and fuzzy C-means (FCM) clustering algorithms.在织物客观评估的基础上,提出了基于减法聚类与模糊C 均值(FCM)聚类的集成方法用于纺织品质量评估分析。

英文短句/例句

1.An Online Multi-model Identification Algorithm Based on Subtractive Clustering基于减法聚类的多模型在线辨识算法
2.Two-stage Hough Transform Track Initiation Algorithm Based on Subtractive Clustering基于减法聚类的两级Hough变换航迹起始算法
3.RBFNN Soft-sensor Modeling of Pellets Sintering Permeability Based on Subtractive Clustering Algorithm基于减法聚类算法的球团烧结透气性RBFNN软测量建模
4.Short-Term Electricity Price Forecasting Based on Subtractive Clustering and Adaptive Neuro-Fuzzy Inference System;基于减法聚类及自适应模糊神经网络的短期电价预测
5.The Fuzzy Neural Network Model Based on Subtractive Clustering and Its Application in the Agriculture;基于减法聚类的模糊神经网络模型及其在农业的应用
6.Driving fatigue fusion detection based on T-S fuzzy neural network evolved by subtractive clustering and particle swarm optimization减法聚类和粒子群优化TS模糊神经网络的驾驶疲劳融合检测(英文)
7.A Method for Reducing the Amount of Training Samples in KNN Text Classification Based on Clustering and Density基于聚类和密度的KNN分类器训练样本约减方法
8.Cluster Method of Support Vector Machine to Solve Large-scale Data Set Classification一种聚簇消减大规模数据的支持向量分类算法
9.Effect of structure and composition on ultrasonic attenuationand velocity of polymer has been studied by pulse-echo method.用脉冲回波法测定了甲基丙烯酸酯类共聚物的超声衰减与声速。
10.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
11.Preparation of Poly-1-Dodecene Drag Reducer by Bulk Prepolymerization本体预聚合法制备聚1-十二烯减阻剂
12.Application and Research Progress of Polycarboxylate Superplasticizer聚羧酸类高效减水剂研究进展及应用
13.Study on Allyl Polyethylene Glycol Based Polycarboxylate Superplasticizer烯丙基聚乙二醇系聚羧酸类减水剂的研究
14.Attenuation reflectance Fourier transformation infrared spectrometry(ATR FTIRs) combined with clustering analysis was used to identify genus Zanthoxlum .本实验采用衰减全反射傅立叶变换红外光谱法结合聚类分析方法定性鉴别花椒属生药材。
15.Two-Stage Text Clustering Based on Collaborative Clustering基于协同聚类的两阶段文本聚类方法
16.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
17.Outliers detection method based on K-means and agglomerative clustering基于K-均值聚类和凝聚聚类的离群点查找方法
18.A rare-class classification approach based on Clustering and Ripper基于聚类和Ripper的稀有类分类方法

相关短句/例句

Subtractive clustering减法聚类
1.BOF end-point temperature prediction model of fuzzy neural network system with subtractive clustering;基于减法聚类的模糊神经网络转炉终点温度预报模型
2.Design of hierarchical fuzzy systems based on subtractive clustering and adaptive neuro-fuzzy inference systems;基于减法聚类和自适应神经模糊推理系统的递阶模糊系统的设计
3.An integrated method was proposed by combining subtractive clustering and fuzzy C-means (FCM) clustering algorithms.在织物客观评估的基础上,提出了基于减法聚类与模糊C 均值(FCM)聚类的集成方法用于纺织品质量评估分析。
3)subtraction clustering减法聚类
1.By using the methods of subtraction clustering and adaptive fuzzy neural network,a sort of motion planner for the underwater vehicle was designed.使用减法聚类和自适应模糊神经网络方法设计了一种水下机器人运动规划器。
2.Load data are classified by fuzzy subtraction clustering based on the standardized characteristic vectors.在特征向量归一化基础上,利用减法聚类算法对特征向量进行分类处理,获得了理想的负荷分类结果。
3.First, the subtraction clustering method based on the mountain function is used to obtain group data such that training efficiency is greatly improved.该模型采用基于山峰函数的减法聚类算法,将样本数据集分成多组来进行局部模糊模型的建立和训练,大大提高了组合模糊逻辑模型的训练效率。
4)subtractive clustering algorithm减聚类算法
1.As simulation result shown,subtractive clustering algorithm can find efficiently the proper network parameters of RBF.仿真结果表明,减聚类算法能有效地寻找合适的RBF网络参数,基于减聚类算法的RBF网络在建立高速公路宏观交通流动态模型上具有训练速度快、实用性强的特点,且能以较高的精度逼近实际系统。
2.The subtractive clustering algorithm can automatically terminate the clustering criterion to ascertain RBF numbers.将自动终止聚类判据的减聚类算法用于径向基网络的学习,可根据样本集确定径向基函数数目,且其计算量与数据点的数目与考虑问题的维数无关,很适合于人脸这种维数较高的模式。
5)subtractive clustering method减聚类算法
1.The first to determine units number in RBF layer using subtractive clustering method,the second to optimize central position and directional width based on PSO algorithm,and the last to train RBF neural network combine with least-square method.提出了一种基于粒子群优化(PSO)算法的径向基函数(RBF)神经网络学习方法,首先利用减聚类算法确定网络径向基层的单元数,再用PSO对基中心和宽度进行优化,并与最小二乘法相结合训练RBF神经网络。
2.First,it used subtractive clustering method to determine unit\'s number in RBF layer.提出了一种基于粒子群优化(PSO)算法的径向基(RBF)网络参数优化算法,首先利用减聚类算法确定网络径向基函数中心的个数,再用PSO算法优化径向基函数的中心及宽度,最后用PSO算法训练隐含层到输出层的网络权值,找到神经网络权值的最优解,以达到优化神经网络学习的目的。
3.In view of the problem existing in the prediction model of coal and gas out burst, in this paper a prediction method of coal and gas out burst based on RBF nerve network is put forward, and the central parameter of RBF nerve network can be figured out by introducing subtractive clustering method.针对现有煤与瓦斯突出预测模型存在的不足之处,本文首先提出了基于RBF神经网络的煤与瓦斯突出预测模型,并引用减聚类算法得到RBF神经网络的中心参数。
6)subtraction clustering algorithm减法聚类算法
1.By introducing the subtraction clustering algorithm,the sample data are classified and the local model parameters are identified off-line using the corresponding data set.引入减法聚类算法对样本数据进行分类,用得到的分类数据对局部模型参数进行离线辨识。