Summary. Morphological associative memories (MAMs) are based on a lattice algebra known as minimax algebra. In previous papers, we gained valuable insight into the storage and recall phases of gray-scale autoassociative memories. This article extends these results to the heteroassociative and to the fuzzy case in view of the fact that a gray-scale MAM model can be converted into a fuzzy MAM model that coincides with the Lukasiewicz IFAM by applying an appropriate threshold. The article includes experimental results concerning applications of MAM and fuzzy MAM models in classiffication and prediction.
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© 2007 Springer-Verlag Berlin Heidelberg
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Sussner, P., Valle, M.E. (2007). Morphological and Certain Fuzzy Morphological Associative Memories for Classification and Prediction. In: Kaburlasos, V.G., Ritter, G.X. (eds) Computational Intelligence Based on Lattice Theory. Studies in Computational Intelligence, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72687-6_8
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DOI: https://doi.org/10.1007/978-3-540-72687-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72686-9
Online ISBN: 978-3-540-72687-6
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