4.7 Article

Bidirectional Associative Memories: Different Approaches

Journal

ACM COMPUTING SURVEYS
Volume 45, Issue 2, Pages -

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/2431211.2431217

Keywords

Algorithms; Performance; Bidirectional associative memories; one-shot algorithms; correct recall

Funding

  1. COFAA
  2. SIP
  3. SNI

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Bidirectional Associative Memories (BAM) are systems that allow to associate pairs of patterns. Once a memory has learned, patterns can be recalled in two directions. BAMs have many applications in pattern recognition and image processing. The aim of this survey is to present several models of BAM throughout time, since Kosko [1988] proposed the first model; followed by those works based on or inspired by it, trying to improve recall capacity; to some recent one-shot models-such as Morphological BAM and Alpha-Beta BAM-which are of particular interest, given their superior performance.

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