Daniela Maria Grande Vicente

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Sparsely connected autoassociative lattice memories (SCALMs) are very general models defined on complete lattices, a mathematical structure which is obtained by imposing some ordering on a set. They are computationally cheaper and mathematically simpler than “traditional” models and other memories such as the original autoassociative morphological memories(More)
Sparsely connected autoassociative morphological memories (SCAMMs) are single layer feedforward neural networks that compute either the maximum or the minimum of a finite subset of the input signals. These memories are computationally cheaper than traditional models and have a wide range of applications because they rely only on a complete lattice(More)
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