给出不确定性推理算法。
目的研究故障诊断专家系统的模糊推理算法。
Aim To study the synthetic fuzzy algorithm applied in fault diagnosis expert system.
决策树学习是应用最广泛的归纳推理算法之一。
Decision tree learning is one of the widely used and practical methods for inductive inference.
提出了一种基于因果影响可能性分配的推理算法。
Due to overcoming the difficulties, a reasoning algorithm based on possibility allocation is presented in this paper.
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。
The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.
提出了一种新的基于代数的模糊Petri网逆向推理算法。
This paper proposes a new backward reasoning algorithm based on algebra.
另外，在分析模型和变权算法的基础上给出了模型的推理算法。
In addition, on the base of the analysis model and changed weight algorithm put forward the model's reasoning algorithm.
构造新的推理算法使之具有上述性质一直是模糊推理的主要理论问题。
Construct a new reasoning algorithm so that it has the nature of the fuzzy reasoning has been the main theoretical issue.
该文从逻辑的角度介绍了SHIQ的语法、语义、推理问题和推理算法。
In this paper, the syntax, semantic, inference problem and inference algorithm about SHIQ from the point view of logic were introduced.
此外，还讨论了系统推理机推理规则的设计原理与组织方法及推理算法。
Furthermore, the author also discusses the design principles and organization method of the inference rules and the inference algorithms of inference engine in the system.
此外，还讨论了系统推理机推理规则的设计原理与组织方法及推理算法。
Furthermore, the author also discusses the design principles and organization method of inference rules and the inference algorithms of inference engine in the system.
推理算法中应用的是一些基本的数据库技术，推理算法简单、高效、通用。
Only basic database technique is applied. The algorithm is simple, high-powered and universal.
针对不同的网络，可以采用不同的推理算法，以加快推理速度，提高计算效率。
To different networks, we adopt different inference algorithms to quicken the rate of reasoning and improve calculation efficiency.
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。
This paper introduces inference algorithm of Bayesian network and analyzes intrinsic characteristic and reasoning mode of situation assessment.
联合树算法以其容易理解，适用范围广等特点成为目前应用最多的精确推理算法。
Because Junction tree algorithm is easy to understand and its range of application is broad, it has been the most used widely among the exact inference algorithms.
之后利用融合了极大代数运算的不确定性并行推理算法，确保较准确地推断出结果。
Then, by using uncertainty-reasoning algorithm, which adopts max-algebra method, result can be calculated with comparative accurate.
指出现有信度决策树中推理算法的不足之处，给出了一种新的基于规则的推理算法。
This paper pointed out the shortages of reasoning algorithms of the present belief decision trees and then proposed a new reasoning algorithm.
在此基础提出了一种带时间延迟的因果图迭代推理算法，并分析了算法的时间复杂度。
Then, an iterative reasoning algorithm of TDCD is put forward, and its computational time complexity is analyzed.
其与经典的层次空间推理算法相比，本文提出的算法实现过程简单，效率和精度相似。
Compared with conventional hierarchical spatial reasoning algorithm, the algorithm presented in this paper can be implemented more easily, with similar efficiency and accuracy results.
在分析了APN的静态和动态结构之后，给出了定性诊断推理算法和基准调节学习算法。
After analyzing APN the static and the dynamic structure, the quality diagnosis reason algorithm is put forward.
从语义推理技术入手，主要针对描述逻辑、推理算法和推理机三个方面进行了研究分析。
Starting from the semantic inference technology, the authors research and analyze from three mainly aspects, including description logic, inference algorithm and inference engine.
为此，把模糊推理算法看成是模糊集合到模糊集合的映射，选用海明距离作为两模糊集的距离。
Therefore, a fuzzy inference algorithm is viewed as a mapping from one fuzzy set to another, Hamming distance formula is used as the computing distance between the two fuzzy sets.
根据可拓学理论，给出了可拓推理模型和可拓推理的有关概念，并讨论了推理算法的实现过程。
It gives the models and concerned concepts of extension reasoning, and discusses realizing process of reasoning algorithm.
将数值拟合技术引入到区间值模糊推理中，提出一种基于数值拟合的区间值模糊双向推理算法。
Based on the least square method, the technique of numerical fitting is merged into interval-valued fuzzy inference, and a new bidirectional fuzzy inference algorithm is put forward.
研究了模糊推理算法，以加权模糊推理进行多种信息的融合，解决了故障诊断中不确定性问题的求解。
Fuzzy reasoning method was studied and amalgamation of kinds of information was done by fuzzy reasoning of weight.
针对因果图推理中存在逻辑运算量大、计算复杂的困难，提出了一种基于因果图的特性的新的推理算法。
To improve the deficiency of logic operation complexity and computation complexity, a new reasoning algorithm based on causality diagram's characteristic has been presented.
不同的描述逻辑语言具有不同的表达能力，而每种语言推理算法的计算复杂性是由它的表达能力决定的。
As the description logic in expressive power and computational complexity of the balance between the relationships, this is considered a knowledge-based application in a very attractive formal tool.
并给出装配模型的建立过程及基于工程知识的装配配合约束类型识别方法、配合特征相对自由度推理算法。
Then, the method of building the assembly model, recognizing mating constraint type based engineering knowledge, the algorithm of inferring relative freedom of mating feature are given.
主要论述OVSR的本体架构，视频语义模型和索引模型，研究OVSR的查询重写算法以及本体推理算法。
The authors mainly discussed OVSR's ontology structure, video semantic model and indexing model, and studied the user's searching rewriting algorithm and ontology reasoning algorithm.
主要论述OVSR的本体架构，视频语义模型和索引模型，研究OVSR的查询重写算法以及本体推理算法。
The authors mainly discussed OVSR's ontology structure, video semantic model and indexing model, and studied the user's searching rewriting algorithm and ontology reasoning algorithm.
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