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1)  deep knowledge reasoning
深层知识推理
2)  deeper principle knowledge
深层原理知识
3)  deep knowledge
深层知识
1.
All kinds of deep knowledge are discussed in detail.
讨论了基于知识的故障诊断系统所用的各种深层知识,并认为:系统的深层知识是基于系统结构的功能模型和行为模型,它们既可以用定性方式,也可以用定量方式描述。
2.
Recently, the highly advanced computational technology has led to the development of the signed directed graph (SDG) deep knowledge model based qualitative approach.
近年来,随着现代计算机技术的日新月异,使得基于符号定向图(SDG)深层知识模型的定性仿真研究和应用取得了显著进展。
4)  Knowledge inference
知识推理
1.
The knowledge inference method of the general network modeling with graphic interface is introduced,in which the system model is gradually inferred from the visual system connection diagram.
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
2.
We detailedly introduced the Topic Map,the constitution,the knowledge representation and knowledge inference of the TM.
详细介绍了TM主题地图,TM的组成及它的知识表示与知识推理,并把TM与RDF(Resource Description Framework)两种技术作了分析与比较,TM所具有的优点都使其在知识网格中可以有非常广阔的发展空间。
3.
In our opinion,ontology-based domain knowledge inference includes logic error-check inference and domain deductive knowledge detection reasoning.
基于本体的领域知识推理主要分为基于逻辑的领域知识检错推理和基于关系的领域蕴涵知识发现推理。
5)  knowledge reasoning
知识推理
1.
SAT-based algorithm for knowledge reasoning;
一种规约于可满足性问题(SAT)的知识推理算法
2.
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
3.
Research on Bayesian network knowledge reasoning in ITS
Bayesian网知识推理在ITS学习推荐中的应用研究
6)  knowledge-based reasoning
知识推理
1.
The article based on the ladderlike manufacture system input output model, aimed at the application of product chain and its personalization processing ,then gave the way of "best" selling structure analyzed with knowledge-based reasoning, and used it to explore the potential of one polyamide fiber factory.
本文基于递阶生产系统投入产出模型,在针对具有“产品链”特点的具体应用背景给以“个性化”处理的基础上,给出了利用知识推理进行企业“最佳”销售结构分析的方法,并采用该方法对某锦纶厂企业潜力的挖掘分析, 进行了成功的实践。
补充资料:演绎推理(见推理)

  
  演绎推理(见推理)
  deductive inference

  住理。yanyl tullj演绎推理(deduetive infer。二ee)见
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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