Abstract
The morphological associative memories (MAM) have many attractive advantages. However, they can not give a guarantee that morphological hetero-associative memories are perfect, even if input patterns are perfect. In addition, the problem with the associative memory matrixes W XY and M XY is that W XY is incapable of handling dilative noise while M XY is incapable of effectively handling erosive noise. In this paper, the new methods of MAM, + W XY and + M XY are proposed. The certain qualifications that make + W XY and + M XY be perfect memories are analyzed and proved. As far as the hetero-associative memories are concerned, although + W XY and + M XY are not perfect, they are complements to original W XY and M XY . + W XY is capable of handling dilative noise while + M XY is capable of effectively handling erosive noise. Therefore they can be put together with original W XY and M XY to learn from others’ strong points to offset ones’ own weakness and to make the effect of hetero-associative memories and pattern recognition better. The calculation results demonstrate that both + W XY and + M XY are effectual.
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Feng, N., Cao, X., Li, S., Ao, L., Wang, S. (2009). A New Method of Morphological Associative Memories. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_43
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DOI: https://doi.org/10.1007/978-3-642-04020-7_43
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