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concept reasoning network
相关语句
  概念推理网
     Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
     在已有的英语语义词典及大量训练集的基础上 ,应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网 .
短句来源
  概念推理网络
     Effective Concept Space is filtered out by restraint reasoning from concept reasoning network, and effective concept space resolving algorithm is symbolically described The functional relationships between design entities involved in individual scheme are analyzed based on conceptual graphs.
     通过约束推理从概念推理网络中提取出有效概念空间,并给出了有 效概念空间的分解算法; 基于概念图(Conceptual graphs)分析了方案中设计实体之间的 功能联系。
短句来源
  相似匹配句对
     THE CONCEPT-REASONING NETWORK AND ITS APPLICATION IN TEXT CLASSIFICATION
     概念推理网及其在文本分类中的应用
短句来源
     On concept and characters of legal reasoning
     论法律推理的定义及特征
短句来源
     The concept of education in the network era
     网络时代的教育观念
短句来源
     On"Concept"
     “概念”刍议
短句来源
     NETWORK
     网络技术
短句来源
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Following the analysis of the current text classification methods, a new classification model is proposed in this paper. The key of the model is to simulate the process of human classification. Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set. Given a document, this model can activate several networks and then reason to decide which classification it belongs to. The experiment...

Following the analysis of the current text classification methods, a new classification model is proposed in this paper. The key of the model is to simulate the process of human classification. Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set. Given a document, this model can activate several networks and then reason to decide which classification it belongs to. The experiment indicates that the model has high classification precision and recall.

在分析了当前文本分类中常用方法的基础上 ,提出了一种新的分类模型 .该模型是对人的分类过程的一种模拟 .在已有的英语语义词典及大量训练集的基础上 ,应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网 .对待分类的文档可以激活相应的网络 ,同时传播推理以决定其类别的归属 ,试验表明 :该方法具有较高的分类正确率与召回率 .

On the basis of Axiomatic design (AD) theory, several key techniques for generating conceptual design schemes of mechanical products are studied. Customer-driven issue of conceptual design is discussed. It proposes a strategy for establishing the mapping from customer domain to functional domain. The concept of Domains Structure Template which is directed against the defects of AD is proposed to extend AD, and concept space and concept reasoning network are constructed. Effective Concept Space...

On the basis of Axiomatic design (AD) theory, several key techniques for generating conceptual design schemes of mechanical products are studied. Customer-driven issue of conceptual design is discussed. It proposes a strategy for establishing the mapping from customer domain to functional domain. The concept of Domains Structure Template which is directed against the defects of AD is proposed to extend AD, and concept space and concept reasoning network are constructed. Effective Concept Space is filtered out by restraint reasoning from concept reasoning network, and effective concept space resolving algorithm is symbolically described The functional relationships between design entities involved in individual scheme are analyzed based on conceptual graphs. A high speed chainstitch sewing machine is used as a case study to show the effectiveness of the proposed method and associated algorithms.

在公理化设计(Axiomatic design)理论的基础上, 研究了机械产品概念设计方案生成的几个关键技术。讨论了概念设计的顾客需求驱动问题,提出了一种解决策略;针对公理化设计 理论的不足,提出了域结构模板的概念,对公理化设计进行了扩展,并在此基础上构造了概 念空间和概念推理网络;通过约束推理从概念推理网络中提取出有效概念空间,并给出了有 效概念空间的分解算法;基于概念图(Conceptual graphs)分析了方案中设计实体之间的 功能联系。以高速链式平缝机为例对所述概念设计方案生成方法进行了验证。

 
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