knowledge reasoning

Fuzzy Temporal Knowledge Reasoning and Validating Algorithm and Its Application in Modeling and Analyzing Operations of Train Group

不确定性时间知识推理和验证算法及列车群建模分析

In order to assuring the stabilization of which the knowledge base is running, the research of knowledge base maintenance and the efficiency of knowledge obtaining are done, as well as, the fuzzy identify and fault reasoning design based on knowledge base were accomplished.

为保证知识库运行的稳定性和系统设计的完备性，本文还进行了知识库维护方法和知识获取效率的研究，并完成了基于知识库的模糊识别与故障推理设计。

As an incremental learning system, Case-based reasoning ( CBR) makes the knowledge and rule obtainment bottleneck easy by learning from case, thus it has increasingly become a hotspot in the area of artificial intelligent.

基于事例的推理（CBR）作为一种增量式的学习方法，规避了传统人工智能在知识获取上的瓶颈问题，逐渐引起人工智能领域研究者的关注。

Through in-depth analysis of proportioning aluminum process with aluminum engineer, the proportioning aluminum rules and the knowledge base and inference mechanisms are established. Knowledge reasoning system about proportioning aluminum is realized with using VC++ as front-end development platform and oracle database as the database backend.

通过深入分析配铝工程师的配铝过程，形成配铝规则，建立了配铝知识库和推理机制，并采用VC++作为前端开发平台，Oracle作为后台数据库实现了配铝知识推理系统。

Furthermore, it is suitable to more situations, and can solve complicated problem of temporal knowledge reasoning in other researching fields.

另外其适用面广，可用于解决其它领域内时间推理和验证问题。

According to fuzzy time functions a temporal knowledge reasoning algorithm is presented and the calculation methods of latest, earliest and Min are discussed in this paper.

然后基于时间模糊集理论函数的相关运算提出FTPN时间知识推理算法的基本思想，详细讨论了最迟时间可能性分布latest，最早时间可能性分布earliest以及最小操作Min的运算方法；

Including the create of diagnosis knowledge model, fault reasoning diagnostics, maintenance of the diagnostic program library, diagnostic guide. 5.

包含建立故障诊断知识模型、故障本体、故障推理诊断、诊断方案库维护、诊断引导。

Error Measurement and Propagation in GIS Knowledge Reasoning Operation

GIS知识推理操作中的误差度量和传播

Research on Representation and Reasoning of Uncertain Temporal Knowledge in Emergency System

应急决策系统中时态知识表示与推理的研究

Hume contended that only knowledge obtained by mathematical reasoning was certain.

休漠主张,只有经过数学推理获得的知识才是可靠的.

The Prolog rough fuzzy fact base and the Prolog rough fuzzy rule base are used to constitute the knowledge base in the knowledge reasoning system. Finally, the knowledge reasoning system supported by the semantic Web rough fuzzy ontology is designed and developed.

由粗糙模糊事实知识库和粗糙模糊规则知识库组成知识推理系统的知识库最后，设计并实现语义Web粗糙模糊本体支持的知识推理系统。

An improved residual error GM ( 1,1) model is adopted to predict the resource performance and furthermore prediction of time characteristics of tasks are studied with combination of knowledge reasoning.

提出了一种改进的残差GM（1,1）模型进行资源性能的预测；同时基于资源性能的预测，结合知识推理，研究了任务时间特性的预测。

Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph

基于概念语义网络图的RDF知识推理研究与实现

In particular, Arum and Roksa found, college students were not developing the critical thinking, analytic reasoning and other higher-level skills that are necessary to thrive in today's knowledge-based economy and to lead our nation in a time of complex challenges and dynamic change.

特别是,阿鲁姆和罗克萨发现,大学生没有发展批判性思维、分析推理能力和其他更高层次的能力,而这些技能可以使他们在当今的知识经济中茁壮成长，使国家在复杂挑战和动态变化中屹立不倒。

The foundation of Knowledge Base and the realization of Reasoning Machine were expatiated in detail.

重点探讨知识库的建造和推理机的实现问题.

The paper presents a temporal knowledge reasoning algorithm based on Time Petri Nets ( TPN). At the base of existing algorithm, the fuzzy time interval is used to develop the algorithm.

介绍一种基于时间Petri网的时间知识推理算法，它是在已有算法的基础上，引入模糊时间区间的操作进行扩展而形成。

In Common-Softwate Domain Knowledge, the article introduce algorithms of construct and knowledge reasoning for concept semantic network graph based on RDF knowledge base.

文章介绍在常用软件领域知识中，基于RDF知识库的概念语义网络图的构建和知识推理的相关算法。