Non iterative hopfield model

Catalán Salgado Edgar A., Cornelio Yáñez Márquez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The Hopfield model has problems in the recall phase, one of them it's the time convergence or non convergence in certain cases. We propose a model that eliminates iteration in Hopfield model. This modification in the recall phase, eliminates the iterations and for consequence takes fewer steps, after them, the recuperation of N patterns learned it's the same or little better than Hopfield model. Finally because iteration is eliminated the recuperation time is reduced too.

Original languageEnglish
Title of host publicationProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Pages137-141
Number of pages5
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
Volume2

Conference

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

Keywords

  • Associative memory
  • Auto associative memory
  • Hopfield
  • Non iterative

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