关系推理
- 网络relation reasoning
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GIS中拓扑和方向关系推理模型
An Integrated Model for Topology & Direction Relation Reasoning
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基于Delaunay三角网的空间邻近关系推理
Spatial neighborhood relation reasoning based on delaunay triangulation
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GIS中由单种细节方向关系推理拓扑关系的方法
Inferring Topological Relations from Single Detailed Direction Relations in Geographical Information System
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空间方向关系推理计算的NP完全性研究
Research on the Computational Complexity of Spatial Reasoning with Directional Relationship
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提出的近海环境地物多模态统一认知模型,实现了空间数据组织与空间关系推理的统一,揭示了概念世界到GIS世界的认知转变机理。
By proposing multimode surface features of offshore environment unified cognitive model , this research achieved the relationship between spatial data organization and reasoning of the unified space , and revealed the change mechanism from the concept world to the GIS world .
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日常生活事件时间关系推理的初步研究
A Pilot Study on the Temporal Relation Reasoning of Daily Events
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3&6岁儿童传递性关系推理的研究
On transitive inference making of children aged 3 to 6
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视觉表象对传递性关系推理影响的实验研究
A Study on How Visual Imagery Affects Transitive Inference
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传递性关系推理的简约模型&诠释传递性关系推理的新理论
The Minimal Model of Transitive Inference : The New Theory of Transitive Inference
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时间序列关系推理研究概述
A Review of Researches on Reasoning about Temporal Sequence
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基于常识的亲属关系推理模型
A Kindred Reasoning Model Based on Commonsense Knowledge
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线型物体方向关系推理的研究
Research on Direction Relation Reasoning for Linetype Objects
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三段论是量化的间接关系推理。
It is a quantified mediate relational inference .
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设计三种情境考察被试的推理情况,并试图揭示儿童是怎样进行传递性关系推理的。
Three kinds of situations were designed to show children 's operation in inference making .
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对时间推理的研究主要有两种范式,习俗周期性时间推理和时间关系推理。
This research has two kinds of main paradigms & periodical temporal reasoning and temporal relation reasoning .
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本研究在以往研究的基础上,对日常生活事件的时间关系推理进行了研究。
In this study , we explored the temporal relation reasoning of daily events with college students as subjects .
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基于球面四元三角网剖分的层次空间关系推理
The atmospheric layer between the mesosphere and the exosphere . Hierarchical Spatial Relation Reasoning Based on Spherical O-QTM Partition
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以往大多数研究集中在习俗周期性时间推理上,而时间关系推理研究则相对薄弱。
Most of the previous studies are focused on periodical temporal reasoning , but not on temporal relation reasoning .
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在此基础上,通过逻辑关系推理,探讨得知关键客户价值与物流成本之间的内在波动关系。
At last , it discusses and ontains the rule of inner fluctuation between key customer value and logistics cost .
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传递性关系推理是认知发展的一个重要方面,也是儿童思维发展的重要基础。
Transitive inference is an important aspect in cognitive development and is also important basis in the development of children 's thought .
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时间序列关系推理是对事件发生的先后顺序关系的推理,是日常生活思维的重要方面。
Reasoning about temporal relations , a very important aspect in daily life , can be defined as reasoning about the event sequences .
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阐述了儿童传递性关系推理发展的研究状况,分析了传递推理的心理模型,提出了新的心理模型。
This paper discussed the development law of children 's delivering inference , analyzes its mental model , and puts forward the new model .
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本体由于其能够统一描述领域内概念,使领域内知识得到共享,极大地促进空间关系推理的发展。
Because Ontology can unify the concept in the domain and share knowledge in the domain , enormously promoted development of spatial relations reasoning .
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目前空间推理主要分为拓扑关系推理、主方向关系推理和距离关系推理等。
At present , spatial reasoning mainly consists of topological relation reasoning , cardinal direction relation reasoning and distance relation reasoning , and so on .
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视觉表象在认知和思维活动中具有极为重要的作用,但视觉表象在传递性关系推理中的作用却一直存在争议。
Visual imagery plays an important role in human cognitive and thinking activity , but its role in transitive inference reasoning is still equivocal and controversial .
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在智能导航、机器人、计算机视觉、影像相似性判别、矿产预测中,方向关系推理都具有重要作用。
Direction relations reasoning are playing animportant role in the intelligent navigation , robot , computer vision , image similarityidentifying , minerals forecasting and so on .
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怎样摆脱这种两难困境?出路就在于正确揭示关系推理的结构关系并将之符号化。
How to get rid of this kind of dilemma ? The outlet lies in correctly unveiling the structural relation of relational reasoning and symbolizing it .
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2视觉表象中的空间表象有利于促进传递性关系推理问题的解决,而客体表象则会阻碍问题的解决。
Spatial imagery can promote the process of reasoning whereas visual imagery can impede the process , because irrelevant visual detail can be a nuisance in reasoning .
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在社会关系推理方面,基于语义化访问地点挖掘和接近数据对用户间的相遇模式进行分析,进而估计其可能的真实社会关系类型。
For social relationship estimation , the approach estimates two users ' social relationship types by analyzing their encounter patterns based on personally semantic places mining and proximity data .
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在系统分析相关文献的基础上,重点针对装配优先关系推理和几何可行装配顺序计算,提出了一种系统化的分析方法&几何约束分析方法。
Focusing on the assembly precedence relations ′ automatically generating and the geometry feasible assembly sequences planning , a systematical method named Geometry Constraints Analysis ( GCA ) is proposed .