JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 2 Issue : 4 Date : June 2007
A New Model of BAM: Alpha-Beta Bidirectional Associative Memories
María Elena Acevedo Mosqueda, Cornelio Yáñez Márquez, and Itzamá López Yáñez
Full Text: PDF (715 KB)
Most models of Bidirectional associative memories intend to achieve that all trained pattern
correspond to stable states; however, this has not been possible. Also, none of the former models
has been able to recall all the trained patterns. In this work we introduce a new model of
bidirectional associative memory which is not iterative and has no stability problems. It is based on
the Alpha-Beta associative memories. This model allows, besides correct recall of noisy patterns,
perfect recall of all trained patterns, with no ambiguity and no conditions. An example of fingerprint
recognition is presented.
Bidirectional associative memories, Alpha-Beta associative memories, perfect recall.