云知识

俗云：知识就是力量。

As the saying goes , @ Knowledge is power .

我们需要将不断发展的云安全知识，通过新的政府/私营部门合作应用于我们的基础设施。

We need to apply the evolving knowledge of cloud-security to our infrastructure through a new government / private partnership .

联合云聚合的知识和技术可由适当的SLA加以有效管理，这意味着任何企业都能轻松应对当代的业务和政治环境。

The aggregated knowledge and technology of a federated cloud , properly managed with an appropriate SLA , means that any enterprise can easily cope with the contemporary business and political environment .

然后给出了基于云模型的知识库中知识的不确定表示，以及基于云模型的数据挖掘方法；

Then uncertain knowledge presentation in the knowledge database and data mining method based on cloud model are given .

面向因此云计算的知识共享服务支持系统是一个具有理论和应用价值的研究领域。

So knowledge sharing service support system based on cloud computing is a field of study with theoretical and practical values .

基于云模型的知识表示和推理方法能够充分地表达出不确定知识的模糊性和随机性，具有较大的客观性，从而能够在一定程度上解决在信息集结过程中信息丢失的问题。

Knowledge representation and reasoning methods based on the Cloud model can fully express the randomness and fuzziness of the uncertainty knowledge , which is objective and can resolve the problem of information loss in the information gathering process to a certain extent .

首先，让我们回顾IBM云的一些基础知识。

First , let 's review some basics of the IBM Cloud .

提出了云计算环境下知识服务质量评价模型。

Knowledge service quality evaluation based on cloud computing environment .

本文以云计算为研究对象，在论述云计算基本知识的基础上，描述云服务平台的基本框架、云服务架构、云服务方式及建设中可能存在的主要问题。

Based on discussing basic knowledge of cloud computing , this dissertation made cloud computing as the research object to describe the basic framework of cloud service platform , cloud services architecture , cloud services and the problems , which may exist in the construction .

尽管您可能会在一些独立线索中找到面向云的会议，但一些线索具有成熟的云开发知识，包括应用程序开发、基础架构和设计、基于模型的系统工程、构建和部署以及移动开发。

Although you can probably find cloud-oriented sessions in any of the individual tracks , some of the tracks are ripe with cloud development knowledge , including application development , architecture and design , model-based systems engineering , building and deploying , and mobile development .

给出了神经网络的学习算法和云决策树的推理方法，这种方法不但具有神经网络的学习能力，而且结合云理论处理知识的不确定性的能力。

The learning method of neural network and the deducing method of cloud decision tree were presented , the approach combines the learning ability of neural network with the ability of cloud model which deals with the ambiguity of knowledge .