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| Format: | Artículo científico |
| Langue: | en |
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Instituto Politécnico Nacional
2006
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| Accès en ligne: | https://www.redalyc.org/articulo.oa?id=61501107 |
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| _version_ | 1866814352654336000 |
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| author | María Elena Acevedo Mosqueda |
| author_facet | María Elena Acevedo Mosqueda |
| contents | Alpha-beta bidirectional associative memories María Elena Acevedo Mosqueda Cornelio Yáñez Márquez Computación Alpha correct recall Beta Associative Memories Bidirectional Associative Memories 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. 2006 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61501107 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.10 |
| format | Artículo científico |
| id | redalyc_61501107 |
| language | en |
| publishDate | 2006 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Alpha-beta bidirectional associative memories María Elena Acevedo Mosqueda Computación Alpha correct recall Beta Associative Memories Bidirectional Associative Memories Alpha-beta bidirectional associative memories María Elena Acevedo Mosqueda Cornelio Yáñez Márquez Computación Alpha correct recall Beta Associative Memories Bidirectional Associative Memories 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. 2006 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61501107 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.10 |
| title | Alpha-beta bidirectional associative memories |
| topic | Computación Alpha correct recall Beta Associative Memories Bidirectional Associative Memories |
| url | https://www.redalyc.org/articulo.oa?id=61501107 |