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1)  belief network
信度网
1.
The causality diagram methodology,which is based on belief network,overcomes some shortages in knowledge expressing and reasoning of belief network and has evolved into a mixed causality diagram methodology coping with discrete and continuous variables[1-3],and it is very useful for industrial fault diagnosis application.
信度网基础上发展起来的因果图模型,克服了信度网的一些不足,目前已发展成一个能够处理离散变量和连续变量的混合模型,特别适于运用在大型的工业故障诊断领域。
2.
In the last few years Belief networks have become a popular way of modeling probabilistic relationships among a set of variables for a given domain.
近年来,信度网已经成为表达一组随机变量间的概率关系的常见方法。
3.
The inference algorithm is the basis of learning and application in belief network.
基于概率知识表达的信度网已成为人工智能中非确定知识表达和推理的研究热点。
2)  belief networks
信度网
1.
A best classifier can be built by using belief networks.
利用信度网可以构造出分类性能更好的分类器。
2.
This dissertation focuses on efficient exact inference on belief networks, learning belief networks from data, and classification using belief networks.
信度网是人工智能中不确定性知识表达和推理的核心方法。
3)  belief network
信度网络
4)  dispatch and communication network
调度通信网
1.
Also,the paper points it will become a certain trend, that the electric power dispatch and communication network will be linked to IP bandwidth network.
指出了与IP宽带网接口是电力调度通信网发展的必然趋
5)  Web credibility
网站可信度
1.
Web credibility is an important standard to assess whether the enterprise web is successful or not.
网站可信度是企业网站成功与否的重要标准。
6)  belief network reasoning
信度网推理
补充资料:城域网(见计算机网络)


城域网(见计算机网络)
metropolitan area network, MAN

  ehengyuwQng城域网(metropolitan area netwo次,MAN)分布范围可覆盖几个街区到整个城市的计算机网络。见计算机网络。
  
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