International Journal of Computational
Intelligence Research (IJCIR)
Volume 3, Number 1 (2007)
Alpha-Beta bidirectional associative memories
María Elena Acevedo-Mosqueda, Cornelio Yáñ ez-Márquez, Itzamá López-Yáñez
Centro de Investigación en Computación, Instituto Politécnico
Nacional, Laboratorio de Inteligencia Artificial v. Juan de Dios Bátiz s/n, México, D. F., 07738, México
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 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.