CNC lathe; intelligent fault-diagnosis; Bayesian Network; vibration analysis.
数控车床；智能故障诊断；贝叶斯网络；振动分析。
In one embodiment, the machine learning algorithm generates a Bayesian network.
在一个实施例中，机器学习算法生成贝叶斯网络。
Bayesian network and Boolean network are powerful tools to genetic networks research.
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 classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
The experimental data shows that Bayesian network is fitter for solving the Chinese WSD than ANN.
实验数据表明贝叶斯网络比神经网络更适合解决汉语词义消歧问题。
This method directly reuses historical cases so as to improve Bayesian network modeling efficiency.
这种方法能够复用历史案例，提高贝叶斯网建模效率。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
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。
A method of reliability evaluation for HVDC systems based on Bayesian network is proposed in this paper.
该文提出了将贝叶斯网络应用于高压直流系统可靠性评估的方法。
Afault tree method based on Bayesian network for Reliability Evaluation of Distribution System is presented.
提出了一种基于贝叶斯网络的故障树分析法并应用于配电系统的可靠性评估。
The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.
研究了基于贝叶斯网络的推理模型以及基于此模型的推理算法。
Knowledge acquisition method of tribological system condition identification using Bayesian network was proposed.
研究了基于贝叶斯网络的摩擦学系统状态辨识知识的获取方法。
The stability of object types is one bottleneck in BP, leading to its robustness less than naive Bayesian network.
地物类别的稳定性是BP识别算法效率的瓶颈，导致其健壮性不如朴素贝叶斯网络。
This thesis is about the study on learning Bayesian Network from extremely large or small datasets and its application.
本文对极大或极小数据集下的贝叶斯网络学习进行了研究，并提出了相关的解决方案。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.
结果表明，基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。
This method can avoid the problems of depending on a large number of data with high quality in existing Bayesian network learning.
该方法可避免现有的贝叶斯网络学习过于依赖数据、对数据的数量和质量要求过高等问题。
Bayesian network classifier has good capability to handle problems with high uncertainty, and is fit for customer modeling in CRM.
基于贝叶斯网的分类器因其对不确定性问题有较强的处理能力，因此在CRM客户建模中有其独特的优势。
Firstly, a kind of abbreviated forecasting formula was proposed after the mathematical basis of Bayesian network had been depicted.
首先阐述了贝叶斯网络的数学描述，在此基础上给出贝叶斯网络预测公式的一种简化形式。
Cyclic Bayesian network provides modeling method and inference algorithms for the management of software project iterative process risk.
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。
A risk evaluation method based on Bayesian network is proposed to quantitatively evaluate ERP consultation project risk of consulting firm.
针对咨询公司ERP咨询项目风险的特点和风险定量评估要求，提出了基于贝叶斯网络的ERP咨询项目风险评估方法。
According to the uncertain characteristics of information in virtual enterprise, the Bayesian network is used to identify its risk probability.
根据动态联盟企业信息具有不确定性的特点，应用贝叶斯网络对企业的风险概率进行识别。
This paper introduces inference algorithm of Bayesian network and analyzes intrinsic characteristic and reasoning mode of situation assessment.
该文介绍了贝叶斯网络推理算法，分析了态势估计问题的本质特征和推理模式。
We propose the method for Bayesian network based transformer synthesized condition evaluation and devise the Bayesian network condition evaluation model.
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。
Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.
贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。
On the basis of the before mentioned, a kind of advanced, effective and simple defect predict method and technology based on Bayesian network is proposed.
为此研究目的，首先，研究了软件缺陷管理的理论与技术、软件缺陷分类方法，提出了一种改进模型——基于软件开发过程的软件缺陷管理模式。
According to characteristics of threat identification and Bayesian network, a method of threat identification based on Bayesian network is brought forward.
根据威胁识别与贝叶斯网络的特点，提出了基于贝叶斯网络的威胁识别方法。
Applying the Bayesian network, the model was developed, and the overall quality was presented as the central node with the sub-characters as the root nodes.
该模型基于用户感知的质量，以总质量作为中心结点，可以直接测量的质量子属性为网络根结点。
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.
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.
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。
应用推荐