Abstract
This paper presents the proposal for an associative memory implemented in cellular automata for pattern recognition. Both in their learning phase and recovery, the proposed model is based on dilation and erosion operators from mathematical morphology. The model was applied to the iris plant, abalone and hepatitis databases taken from the repertoire of available databases for Machine Learning Center and Intelligent Systems at the University of California Irvine.
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