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Associative Models for Storing and Retrieving Concept Lattices

机译：存储和检索概念格的关联模型

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摘要

Alpha-beta bidirectional associative memories are implemented for storing concept lattices. We use Lindig's algorithm to construct a concept lattice of a particular context; this structure is stored into an associative memory just as a human being does, namely, associating patterns. Bidirectionality and perfect recall of Alpha-Beta associative model make it a great tool to store a concept lattice. In the learning phase, objects and attributes obtained from Lindig's algorithm are associated by Alpha-Beta bidirectional associative memory; in this phase the data is stored. In the recalling phase, the associative model allows to retrieve objects from attributes or vice versa. Our model assures the recalling of every learnt concept.
机译：实现了Alpha-beta双向关联存储器以存储概念格。我们使用Lindig的算法来构造特定上下文的概念格；这种结构就像人类一样被存储在关联存储器中，即关联模式。双向性和Alpha-Beta关联模型的完美召回性使其成为存储概念格的绝佳工具。在学习阶段，从Lindig算法获得的对象和属性通过Alpha-Beta双向联想存储进行关联；在这一阶段，数据被存储。在召回阶段，关联模型允许从属性中检索对象，反之亦然。我们的模型可确保召回每个学习的概念。

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  • 来源
    《Mathematical Problems in Engineering》 |2010年第2期|p.45.1-45.27|共27页
  • 作者

    Maria Elena Acevedo; Cornelio Yanez-Marquez; Marco Antonio Acevedo;

  • 作者单位

    Department of Communications and Electronic Engineering at Superior School of Mechanical and Electrical Engineering, National Polytechnic Institute, Avenue IPN s, Col. Lindavista, C.P. 07738 Mexico City, Mexico;

    rnArtificial Intelligence Laboratory, Computation Research Center, National Polytechnic Institute, Avenue Juan de Dios Bdtiz s, C.P. 07738 Mexico City, Mexico;

    rnDepartment of Communications and Electronic Engineering at Superior School of Mechanical and Electrical Engineering, National Polytechnic Institute, Avenue IPN s, Col. Lindavista, C.P. 07738 Mexico City, Mexico;

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