云模型

OpenGL环境下点云模型的显示变换

Display and Transform of Points Cloud Model with OpenGL

基于云模型特征选择可以提高RS语义分析模型的处理效率。

Cloud model feature extraction can improve the processing efficiency of the RS semantic analysis model .

同时完成3D条纹点云模型预处理。

Do 3D strip point clouds model preprocessing task .

基于云模型的BP算法改进

BP Algorithm Improvement Based-on Clouds Model

基于SVM的点云模型识别技术的研究

Point clouds model recognize method based on the recognize technology of support vector machine

基于K-means聚类方法的三维点云模型分割

D Point Cloud Model Segmentation Based on K-means Cluster Analysis

与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。

This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model .

在此基础上，使用云模型进行特征选择，用RS语义分析模型方法进行特征抽取。

Based on this , we use cloud model for feature selection and RS semantic analysis model for feature extraction .

公共云模型的一个示例是GoogleAppEngine，其中的应用程序和数据存储在Google的一个数据中心中。

One example of a public cloud model is Google App Engine , in which the application and data are stored in one of Google 's data centers .

基于云模型的小生境MAX-MIN相遇蚁群算法

MAX-MIN meeting ant colony algorithm based on cloud model theory and niche ideology

VCL可以处理混合云模型。

VCL can work on Hybrid cloud model .

利用云模型的理论与方法求解数量关联问题，给出了一种云关联规则的定义，并提出了基于云模型理论支持度和置信度的计算方法，最后提出了一种提取算法CloudModelA。

The article proposed an approach for mining quantitative association rules . It gave the definition of the cloud model association rules and presented an algorithm of support and confidence based on cloud model , at last , presented an efficient algorithm Cloud Model A.

另外还介绍了植被覆盖地表广泛使用的水&云模型和微波植被散射模型（MIMICS）。

Besides , the water-cloud model and discrete model MIMICS , which are widely used on vegetation-covered surface , are also presented .

最后，对Z-Map点云模型进行了研究。

Last , the Z-Map mass point model is researched .

点云模型由于具备表示三维细节能力强、存储简单等特点，成为CAD／CG最常用的三维物体表示模型之一。

With its characteristics such as strong detailing ability , and simple storage , 3D point cloud model has been one of the most commonly used three-dimensional objects in CAD / CG .

论文介绍了一种基于Rough集和云模型的空间数据挖掘模型，给出了该模型应用的一般方法与步骤，并将其应用于GIS数据分类规则挖掘。

Finally , the paper discusses a kind of spatial data mining model based on rough set and cloud model , gives the general method and procedure of this model appreciate for the classification rule mining of GIS .

文中提出一种利用云模型来有效避免BP算法陷入局部极小的方法，该方法通过基于云模型和输入参数区间划分的学习因子自适应调整算法来实现。

In this paper , a clouds model is applied to BP algorithm improvement , which avoids BP ANN trapping to local least value . This learning rate self-tunning method is based on clouds model and input parameter domain partition .

该文提出用语言云模型用于KDD中知识表达和不确定性处理，引入了多维云模型作为一维模型的扩展。

This paper presents linguistic cloud models for knowledge representation and uncertainty handling in KDD . Multi dimensional cloud models are introduced as the extension of one dimensional ones .

实验采用朴素贝叶斯和SVM这两种分类器来验证这种方法的有效性。第三、在文本聚类中，利用云模型理论将特征词映射成聚类词云滴，并将词云滴跃升聚类文档云。

In the experiment , we use naive bayes classifier and SVM classifier to verify the effectiveness of this method . Thirdly , in text clustering , we also map terms into cloud droplets and condense them into clustering-document-cloud .

基于逆向工程的产品设计是根据已有模型，进行数据测量获取产品的点云模型，在点云模型的基础上重建出CAD模型，以便进行再设计、快速制造等后续应用。

The product design based on reverse engineering is to obtain the point cloud data of existing models by data measurement , and then rebuild CAD model on the basis of point cloud data in order to re-design , rapid manufacturing , and other follow-up application .

研究了图像序列快速重建、高精度图像边缘检测、叶片点云模型与CAD设计模型配准、叶片壁厚检测与铸造缺陷分析等关键模块的实现方法。

The related research work were mainly focused on the implementing methods for the key modules of the software prototype , including : slice image stack fast reconstruction , high accuracy image edge detection , inspection model and CAD model alignment , wall thickness inspection and casting defects extraction etc.

研究了基于灰色系统云模型SCGM（1,1）的跟踪器建模方法，通过灰色模型的滤波预测能够减小噪声和滞后对机构跟踪性能的影响。

By means of filtering and prediction with grey model , the influence of noise and lag on the control system can be reduced distinctly .

PCASAGA使用云模型实现交叉概率和变异概率的自适应调节；

PCASAGA applied cloud models to the adaptive regulation of the crossover probability and mutation probability .

该方法可有效降低DGA属性维数，克服属性间的相关性，提高诊断正确率。论文提出了物元理论和云模型相结合的变压器故障诊断方法。

It can effectively reduce DGA attribute dimension , overcome correlation between attributes and improve the diagnostic accuracy . A transformer fault diagnosis method based on matter-element theory combining with cloud model is proposed .

最终，模式对于给定的云模型cloud-7和相关外界环境得出了辐射强度分布。

Finally , the model gets the radiation intensity distribution for a given cloud model cloud-7 and the relevant external environment .

本文在LDA模型的基础上引进云模型理论，利用云模型均值和方差的关系，在抽样时标注了某个主题，就为主题添加主题关系调节因子，建立一个新的特征选择系统。

It introduces Cloud Model theory into LDA Model and builds a new feature selection system . Because of the relationship of the Mean and Variance of the cloud model , it will add a subject on the theme as a regulator when marks a topic during the sampling .

通过对最基本的描述逻辑ALC进行扩展，提出了能够处理不确定知识的基于云模型不确定描述逻辑Cloud-ALC，给出了Cloud-ALC的语法和语义及其蕴涵推理关系。

Based on the cloud model , Cloud-ALC , the extension of the important description logic ALC , is presented to deal with the indefinite knowledge . The syntax and semantic of it are defined .

建立了基于云模型的信任模型（TMBCM），实现了对信任主观特性的全面描述。

The main achievements of this dissertation are as follows : 1 . A trust model based on cloud model ( TMBCM ) is presented , in which the subjective characteristics of trust is comprehensively described .

基于云模型的动态客户细分分类模型研究

Analysis of dynamic consumer detailed segmentation model based on cloud model

云模型理论在电力系统稳定控制中的应用

The Application of Cloud Model Theory in Power System Stability Control