Chinese is a language which emphasizes on artistic conception and parataxis. It embodies spirit in forms and gives read- ers enough space to think and abundant fuzzy beauty. Fuzziness is the mainstream. However, Engli...Chinese is a language which emphasizes on artistic conception and parataxis. It embodies spirit in forms and gives read- ers enough space to think and abundant fuzzy beauty. Fuzziness is the mainstream. However, English is an logical language with strict grammar rules which embodies form in spirit. Fuzziness is tributary in English. As a result, it is inevitable to lose the fuzzy beauty during the course of translating from Chinese to English due to these two different languages with diverse value function and appreciation of the beauty. A lot of scholars feel pity and helpless. Starting from the perspective of translation beauty, this thesis an- alyzes the phenomenon of the loss of fuzzy beauty. It introduces the definition of the fuzzy beauty and makes a brief introduction of the wide existence of fuzzy beauty, analyzes the courses and reasons of the loss of fuzzy beauty in the course of translating Chinese to English . At last, it puts forward two specific methods to translate fuzzy beauty, trying to recreate the fuzzy beauty to the most de- gree.展开更多
由于现有的经典本体映射方法以及相似度计算方法无法处理模糊信息,因此它们都无法计算模糊概念之间的相似度.为此,提出了一种新的基于向量空间模型的模糊概念相似度计算方法 Sim FC-VSM(similarity of fuzzy concept based on vector sp...由于现有的经典本体映射方法以及相似度计算方法无法处理模糊信息,因此它们都无法计算模糊概念之间的相似度.为此,提出了一种新的基于向量空间模型的模糊概念相似度计算方法 Sim FC-VSM(similarity of fuzzy concept based on vector space model).Sim FC-VSM方法首先利用模糊本体中的模糊关系构建向量空间模型;然后将模糊概念表示成此向量空间模型中的向量;最后通过向量运算的方法来计算模糊概念之间的相似度.因此,所提出的方法 Sim FC-VSM可以有效地利用向量空间模型来计算模糊概念之间的相似度.展开更多
为了快速适应非平稳环境中工业数据流的分布变化,需要在非结构化和噪声干扰的数据中准确、实时的完成概念漂移的检测.本文提出了一种基于多元区域集划分的工业数据流概念漂移检测算法(Concept Drift detection-Multivariate region set ...为了快速适应非平稳环境中工业数据流的分布变化,需要在非结构化和噪声干扰的数据中准确、实时的完成概念漂移的检测.本文提出了一种基于多元区域集划分的工业数据流概念漂移检测算法(Concept Drift detection-Multivariate region set Partition,CDMP).首先基于实例模糊密度进行多元区域集划分,根据划分的若干模糊分区集合,识别概念漂移发生的区域.概念漂移的持续发生会显著降低基于多元区域集构建的模型的分类性能,CDMP通过构建多元历史模型池来保留具有多样性的历史模型,以降低模型调整或再训练造成的性能损耗,同时保证概念漂移检测中准确性.CDMP在不同数据集上进行了性能测试.实验结果表明,CDMP实现了对历史模型多样性的保留和重用,能够在不同噪声水平的工业物联网环境中实现对重现型、突发型等多类型概念漂移的准确检测.展开更多
文摘Chinese is a language which emphasizes on artistic conception and parataxis. It embodies spirit in forms and gives read- ers enough space to think and abundant fuzzy beauty. Fuzziness is the mainstream. However, English is an logical language with strict grammar rules which embodies form in spirit. Fuzziness is tributary in English. As a result, it is inevitable to lose the fuzzy beauty during the course of translating from Chinese to English due to these two different languages with diverse value function and appreciation of the beauty. A lot of scholars feel pity and helpless. Starting from the perspective of translation beauty, this thesis an- alyzes the phenomenon of the loss of fuzzy beauty. It introduces the definition of the fuzzy beauty and makes a brief introduction of the wide existence of fuzzy beauty, analyzes the courses and reasons of the loss of fuzzy beauty in the course of translating Chinese to English . At last, it puts forward two specific methods to translate fuzzy beauty, trying to recreate the fuzzy beauty to the most de- gree.
文摘由于现有的经典本体映射方法以及相似度计算方法无法处理模糊信息,因此它们都无法计算模糊概念之间的相似度.为此,提出了一种新的基于向量空间模型的模糊概念相似度计算方法 Sim FC-VSM(similarity of fuzzy concept based on vector space model).Sim FC-VSM方法首先利用模糊本体中的模糊关系构建向量空间模型;然后将模糊概念表示成此向量空间模型中的向量;最后通过向量运算的方法来计算模糊概念之间的相似度.因此,所提出的方法 Sim FC-VSM可以有效地利用向量空间模型来计算模糊概念之间的相似度.
文摘为了快速适应非平稳环境中工业数据流的分布变化,需要在非结构化和噪声干扰的数据中准确、实时的完成概念漂移的检测.本文提出了一种基于多元区域集划分的工业数据流概念漂移检测算法(Concept Drift detection-Multivariate region set Partition,CDMP).首先基于实例模糊密度进行多元区域集划分,根据划分的若干模糊分区集合,识别概念漂移发生的区域.概念漂移的持续发生会显著降低基于多元区域集构建的模型的分类性能,CDMP通过构建多元历史模型池来保留具有多样性的历史模型,以降低模型调整或再训练造成的性能损耗,同时保证概念漂移检测中准确性.CDMP在不同数据集上进行了性能测试.实验结果表明,CDMP实现了对历史模型多样性的保留和重用,能够在不同噪声水平的工业物联网环境中实现对重现型、突发型等多类型概念漂移的准确检测.
