Using binary decision diagrams to efficiently represent alpha-beta associative memories

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4 Scopus citations

Abstract

Binary Decision Diagrams have been successful forms to represent Boolean functions, and Associative Memories have been one of the most important models for pattern recognition, being the Alpha-Beta Associative Memories the best available model today. In this paper we propose the use of Binary Decision Diagrams to represent Alpha-Beta associative memories. By doing so, we -will be able to merge two important and very active areas of contemporary scientific research, and improve on both models.

Original languageEnglish
Title of host publicationProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Pages172-177
Number of pages6
DOIs
StatePublished - 2006
EventElectronics, Robotics and Automotive Mechanics Conference, CERMA 2006 - Cuernavaca, Morelos, Mexico
Duration: 26 Sep 200629 Sep 2006

Publication series

NameProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Volume1

Conference

ConferenceElectronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Country/TerritoryMexico
CityCuernavaca, Morelos
Period26/09/0629/09/06

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