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Bidirectional associative memories: Different approaches

Authors:

Maria Elena Acevedo-Mosqueda,

Cornelio Yáñez-Márquez,

Marco Antonio Acevedo-MosquedaAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 45, Issue 2

Article No.: 18, Pages 1 - 30

https://doi.org/10.1145/2431211.2431217

Published: 12 March 2013 Publication History

Abstract

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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Index Terms

Bidirectional associative memories: Different approaches
1. Applied computing
  1. Education
2. Social and professional topics
  1. Professional topics
    1. Computing education

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 45, Issue 2

February 2013

417 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2431211

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Publication History

Published: 12 March 2013

Accepted: 01 September 2011

Revised: 01 July 2011

Received: 01 February 2011

Published in CSUR Volume 45, Issue 2

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Wu YZhao RZhu JChen FXu MLi GSong SDeng LWang GZheng HMa SPei JZhang YZhao MShi L(2022)Brain-inspired global-local learning incorporated with neuromorphic computingNature Communications10.1038/s41467-021-27653-213:1Online publication date: 10-Jan-2022
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Vaidyaraman JThyagarajan AShruthi SRavi V(2022)Braille–Latin conversion using memristive bidirectional associative memory neural networkJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-04386-814:9(12511-12534)Online publication date: 6-Sep-2022
https://doi.org/10.1007/s12652-022-04386-8
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