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Volume: 3 Issue: 1

Alpha-Beta Bidirectional Associative Memories

María Elena Acevedo-Mosqueda, Cornelio Yánez-Márquez, Itzamá López-Yáñez

Abstract:
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.

Keywords:
Bidirectional associative memories, Alpha-Beta associative memories, perfect recall.

doi:10.5019/j.ijcir.2004.94

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