Associative Models for Storing and Retrieving Concept Lattices

Author:

Acevedo María Elena1,Yáñez-Márquez Cornelio2,Acevedo Marco Antonio1

Affiliation:

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

2. Artificial Intelligence Laboratory, Computation Research Center, National Polytechnic Institute, Avenue Juan de Dios Bátiz s/n, C.P. 07738 Mexico City, Mexico

Abstract

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.

Funder

Instituto Politécnico Nacional

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference24 articles.

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