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1)  Isomeric knowledge
异构知识
1.
Based on this description, the process and integration of the isomeric knowledge is realized by building an .
在此基础上,通过建立基于异构知识的智能性管理决策系统的体系结构,来实现对异性知识的处理与集成,以达到使多种异性知识有机结合与集成利用。
2.
This papers discusses the integrated reason and application of isomeric knowledge based on management decision problems.
探讨了基于管理决策问题异构知识的集成推理及应用 ,在异构 (混合 )知识的面向对象表示的基础上 ,构建了一个在推理策略控制下 ,以元推理机为核心 ,四种功能推理机协调工作的推理系统。
3.
The concept of isomeric knowledge is introduced, the isomeric knowledge management based on XML is discussed, and a new architecture of isomeric knowledge-based IDSS is proposed.
介绍了异构知识的基本概念,探讨了基于 XML 的异构知识管理,进而提出基于异构知识的 IDSS 新结构框架。
2)  heterogeneous knowledge integration
异构知识集成
3)  variation knowledge
变异知识
1.
The approximate precision degree of variation rough sets and the properties of variation knowledge;
变异粗集近似精度与变异知识特性
2.
By using concept of variation rough sets,this paper presents the concept of filter degree of variation knowledge,the characters about granulation and filter of variation knowledge are also discussed.
利用变异知识的概念,提出了变异知识过滤度的概念,对变异知识[α/R]的颗粒特征、过滤特征进行了讨论。
3.
Presents the dependency concept of variation knowledge, advances transfer theorem of variation knowledge dependence, dependency finite extension theorem of variation knowledge and application of variation knowledge in knowledge mining.
给出变异知识的依赖概念 ,提出变异知识依赖的传递性定理 ,变异知识的依赖有限扩张定理 ,给出变异知识依赖在知识挖掘中的应
4)  knowledge alienation
知识异化
5)  knowledge difference
知识差异
6)  heterogeneous knowledge
异性知识
补充资料:顺-反式异构体(cistrans isomer),1,2,4异构体
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CAS号:

性质:又称顺-反式异构体(cistrans isomer),1,2,4异构体或1,2,6异构体(1,2,4 isomer;1,2,6 isomer)。八面体配位化合物中,六个配体分别为3个A(如图中Cl:A1,A2,A3)和3个B(如图中Py:B1,B2,B3)(图暂缺)。当三个相同的配体中的两个(如A1与A3或B1与B3)互为反式,第三个(如A2或B2)与这两个A1与A3或B1与B3)均为顺式,这样的排布的异构体即为经式异构体。

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