Abstract
Most heteroassociative memories models intend to achieve the recall of the entire trained pattern. The Alpha-Beta associative memories only ensure the correct recall of the trained patterns in autoassociative memories, but not for the heteroassociative memories. In this work we present a new algorithm based on the Alpha-Beta Heteroassociative memories that allows, besides correct recall of some altered patterns, perfect recall of all the trained patterns, without ambiguity. The theoretical support and some experimental results are presented.
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Román-Godínez, I., Yáñez-Márquez, C. (2007). Complete Recall on Alpha-Beta Heteroassociative Memory. In: Gelbukh, A., Kuri Morales, Á.F. (eds) MICAI 2007: Advances in Artificial Intelligence. MICAI 2007. Lecture Notes in Computer Science(), vol 4827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76631-5_19
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DOI: https://doi.org/10.1007/978-3-540-76631-5_19
Publisher Name: Springer, Berlin, Heidelberg
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