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Alpha-beta bidirectional associative memories
María Elena Acevedo Mosqueda, Cornelio Yáñez Márquez;
Computación y Sistemas 2006 10(1)
Resumen
Inglés Español
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. Applications of Alpha-Beta Bidirectional Associative Memories as fingerprint recognition and translator are presented.

Palabras clave: Bidirectional Associative Memories, Alpha-Beta Associative Memories, correct recall.
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Universidad Autónoma del Estado de México
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