Autores
Vázquez Espinoza de los Monteros Roberto Antonio
Sossa Azuela Juan Humberto
Garro Licón Beatriz Aurora
Título A new bi-directional associative memory
Tipo Revista
Sub-tipo JCR
Descripción Lecture Notes in Computer Science; 5th Mexican International Conference on Artificial Intelligence
Resumen Hebbian hetero-associative learning is inherently asymmetric. Storing a forward association from pattern A to pattern B enables the recalling of pattern B given pattern A. This, in general, does not allow the recalling of pattern A given pattern B. The forward association between A and B will tend to be stronger than the backward association between B and A. In this paper it is described how the dynamical associative model proposed in [10] can be extended to create a bi-directional associative memory where forward association between A and B is equal to backward association between B and A. This implies that storing a forward association, from pattern A to pattern B, would enable the recalling of pattern B given pattern A and the recalling of pattern A given pattern B. We give some formal results that support the functioning of the proposal, and provide some examples were the proposal finds application.
Observaciones MICAI 2006; (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Advances in Artificial Intelligence; Code 68895
Lugar Apizaco, Veracruz
País Mexico
No. de páginas 367-380
Vol. / Cap. 4293
Inicio 2006-11-13
Fin 2006-11-17
ISBN/ISSN 978-354049026-5