最后建立贝叶斯网络模型。
本文对目前电网故障诊断集中式贝叶斯网络模型作了有效改进。
Some improvement has been made on fault diagnosis of the current centralized Bayesian network model.
布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具。
Bayesian network and Boolean network are powerful tools to genetic networks research.
作者提出了一种双同构贝叶斯网络模型的可靠性评价和重新评价的配电网络。
The authors proposed a method for reliability evaluation and re-evaluation of distribution network by dual isomorphic Bayesian network model.
本文数控机床故障诊断的贝叶斯网络模型的结构确立，以传统的故障树分析为基础。
On the basis of analyzing the advantages of Bayesian Networks when researching problems of uncertainty, a concrete model about the quality of workpiece of CNC lathe was established.
以特征信息结构树为基础，对贝叶斯网络模型进行推理，来获得客户需求的兴趣集中点。
Through reasoning Bayesian network model based on the features information construction tree of client requirement, the client requirement concentration is acquired.
对这些查询建立贝叶斯网络模型，通过模型推导出各个查询在当前文档集合下的概率公式。
Then a Bayesian network model is built for all these queries, and the probability formula of each structured query given the document collection is inferred in the model.
通过建立延误波及模型和贝叶斯网络模型，探讨了相关航班中，进港延误和航班取消对离港延误的影响。
Through producing the model of delay propagation and modeling the Bayesian Net, the impact of arrival-delay on departure-delay between related flights is discussed.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
贝叶斯网络模型应用到故障诊断之前，必需对模型的正确性、故障诊断率、故障隔离率等进行全面的分析评估。
The validity, faults diagnostic rate and faults isolated rate of the model must be evaluated all before Bayesian Networks model is used for faults diagnosis.
分析结果表明两个模型的结构完全一致、参数差异非常小。(4)分布式异构贝叶斯网络模型在移动商务中的应用。
The results show that the structures are accordable with a little difference on parameters. (4) the application of distributed heterogeneous bayesian network model in mobile commerce.
贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
这个方法通过对系统进行主动干扰来获得建模的先验知识，然后基于贝叶斯网络构造方法，对分布式应用的组件间关系建立依赖性模型。
The method relies on active perturbation to the system to obtain prior knowledge for building the model, and then constructs the dependency model based on the methods of building Bayesian networks.
提出了一种基于贝叶斯网络的软件项目风险管理模型。
A software project risk management model based on Bayesian networks is presented.
基于贝叶斯网络的XML文档查询选择模型：用户输入自然语言描述的查询后，系统根据文档集合的结构将其构造成多个结构化查询。
The query selecting model of XML documents on Bayesian network: After user inputs the natural query, system constructs several structured queries according to the structure of the document collection.
运用贝叶斯理论及方法，建立了网络系统风险的动态评估模型。
Based on Bayesian theory and concerning approaches, this paper establishes an evaluating model and gives the corresponding method to evaluate dynamically the network risk.
研究软件模块排序模型的评估和使用方法，并提出以贝叶斯信念网络改进排序模型的基本定量模型。
It researches the method for the models evaluation and use, and then introduced the bayesian belief networks to improve the underlying quantitative model.
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
在网络节点之间存在安全依赖关系的前提下，提出了一个基于贝叶斯方法的网络攻击定位和追踪模型。
Under the assumption of security dependence relation among different network nodes, a Bayesian model is put forward for locating and tracing a network attack.
其次，结合客户关系管理理论和数据挖掘规范流程，提出了基于贝叶斯网络的移动大客户离网预警模型。
Secondly, combining with customer relationship management theory and data mining standard process, the leaving-network alarming model for key clients is proposed based on Bayesian network.
有环贝叶斯网络的研究，为管理软件项目迭代过程风险提供了建模方法和模型求解算法。
Cyclic Bayesian network provides modeling method and inference algorithms for the management of software project iterative process risk.
文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。
This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
本文主要涉及的不确定推理模型包括主观贝叶斯的概率推理模型，可信度理论推理模型，证据理论及其改进推理模型以及神经网络推理模型。
In the paper, the models of uncertain reasoning are focused, such as the reasoning model of Bayes probability, Reliability theory, D-S evidence theory and Neural Network.
主要介绍了贝叶斯网络分类器中的TAN分类器的模型、构造方法及分类方法。
This paper mainly introduces the TAN classifier model, its building method and class method.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
提出了基于贝叶斯网络的变压器状态综合评估方法，建立了贝叶斯网络状态评估模型。
We propose the method for Bayesian network based transformer synthesized condition evaluation and devise the Bayesian network condition evaluation model.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
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