VCL可以处理混合云模型。
混合云同时结合了公共云和私有云模型。
云模型是描述不确定性概念的工具。
采用云模型来自适应控制蚂蚁的随机性。
论文提出了一种基于云模型的入侵检测方法。
它使用云模型向客户提供服务，而不考虑可用的计算资源。
It does this by using the cloud model, which allows for the delivery of services to clients, regardless of available computing resources.
云变换是一种基于云模型的连续数据离散化方法。
Cloud transform is a method to discretize continuous data based on cloud model.
利用云模型可以有效地表示基于语言值的定性规则。
Qualitative rules based on linguistic concepts can be efficiently represented by using of clouds model.
提出核空间高维云模型并将其应用于多属性评价问题。
Core space multidimensional cloud model and its application in multiple attributes evaluation are introduced.
一维正态云是一种非常重要并且具有普适性的云模型。
One-dimensional normal cloud is a very important cloud model with general applicability.
算法的核心思想在于利用云模型理论生成交叉和变异概率。
The core idea of the algorithm is to use the cloud model theory to generate crossover and mutation probability.
同时利用正向云发生器来实现云模型向具体数值之间的转换。
Also forward cloud generator was used to achieve conversing the cloud model to the specific value.
这个云模型有五个基本特征，三个服务模型，四个配置模型。
This cloud model is composed of five essential characteristics, three service models, and four deployment models.
幸运的是，把BPM和云模型结合到一起能够克服许多传统的BPM挑战。
Fortunately, combining BPM with the cloud model can overcome many of the traditional BPM challenges.
点云模型渐变研究如何将一个源点云模型平滑的变化成目标点云模型。
Point cloud morphing is a topic about how to transfer a source model into a target model smoothly.
云模型是用语言值表示的定性概念与其定量表示之间的不确定性转换模型。
Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions.
为了实现非线性、大时滞系统的良好控制，提出了一种新型的云模型智能控制算法。
For implementing excellent control to nonlinear systems with long time-delay, a new intelligent control algorithm of cloud models was proposed.
针对区域分割方法中存在的不确定性问题，提出了一种基于云模型的区域分割方法。
This paper proposes a new region based segmentation method based on cloud model in order to take uncertainty into account in image segmentation.
在云模型网络计划中，利用逆向云发生器算法来实现工序时间估计向云模型的转换。
For network planning based the cloud model, Reverse cloud generator algorithm was used to converse the estimated time to the cloud model.
本文从工序时间的模糊性和概率性出发，运用云模型理论对网络计划技术进行了研究。
This paper start from the time of process of fuzzy and probability, and making the use of cloud model theory to study network planning techniques.
该算法由正态云模型的Y条件云发生器实现交叉操作，由基本云发生器实现变异操作。
In this algorithm, Y-conditional cloud generator is used as the cross operator, and basic cloud generator as the mutation operator.
研究如何运用基于云模型改进的关联规则来分析电信客户行为，进行客户行为知识表示。
The application of association rules was discussed based on the cloud model to analyze telecom customer behavior and knowledge representation.
针对遥感影像中模糊对象的表现特征，借助云理论和云模型来对模糊对象进行表达研究。
Based on the features of fuzzy objects in the image and the cloud theory, the paper studies the representation of fuzzy objects in image.
提出了一种基于分解云的不同粒度下的云模型分类方法，并给出了分类方法的算法描述。
An approach was proposed for classifying objects in different granularity based on disassembly cloud, and the algorithm description of the approach was given.
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.
阐述了定性定量转换模型——云模型的定义、特征以及正向云、逆向云、条件云的生成方法。
The definition and characteristics of cloud model, namely interchange model from qualitative concept to quantitative data are expatiated on.
只有网格步长足够小也就是环境参数很详细时，云模型和数据场计算的结合才能充分发挥特色。
According to the different step size it is fount that field calculation results is no different from the results without the use of cloud model when grid step size too rough.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
针对网络异常检测虚警率偏高的问题，提出了一种基于属性相似度云模型的网络异常检测新方法。
A new method for the anomaly detection based on the attributes similarity and the cloud model was proposed to alleviate the high false positive rate problem in the detection.
针对网络异常检测虚警率偏高的问题，提出了一种基于属性相似度云模型的网络异常检测新方法。
A new method for the anomaly detection based on the attributes similarity and the cloud model was proposed to alleviate the high false positive rate problem in the detection.
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