This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.
本文构建了一个基于粗糙集和规则推理的贝叶斯网模型，并将其运用于现实病历数据进行挖掘工作。
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。
Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.
最后，以自动门为应用对象，采用规则诊断与贝叶斯诊断集成推理技术，开发了自动门智能故障诊断系统。
Experiments prove that the priority knowledge can be corrected continually by inference information of Bayesian network, and help to solve the problem of subscriber churn.
实验说明，基于贝叶斯网络推理的知识可以不断修正先验知识，获得对客户流失等问题的正确认识。
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。
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。
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。
How to use Bayesian network to solve this kind of mixed uncertainty knowledge inference has become a research hotspot.
如何应用贝叶斯网络解决这一类混合不确定性的知识推理问题已成为研究热点。
Dynamic Bayesian Network (DBN), because of extensibility, powerful description, inference and learning abilities for the time series, being used in the speech recognition.
动态贝叶斯网络(DBN)，以其扩展性和对时间序列的强大描述、推导和学习能力，逐渐被应用于连续语音识别中。
This paper has researched information transform algorithm, and presented the Bayesian network structure of accident reason inference according to reversion inference.
研究了消息传播算法，根据贝叶斯网络的逆向推理给出了事故原因推理的贝叶斯网络结构；
This paper has researched information transform algorithm, and presented the Bayesian network structure of accident reason inference according to reversion inference.
研究了消息传播算法，根据贝叶斯网络的逆向推理给出了事故原因推理的贝叶斯网络结构；
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