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Erschienen in:
2009 | OriginalPaper | Buchkapitel
A New Method of Morphological Associative Memories
verfasst von : Naiqin Feng, Xizheng Cao, Sujuan Li, Lianhui Ao, Shuangxi Wang
Erschienen in: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.