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