Perfect recall on the lernmatrix

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The Lernmatrix, which is the first known model of associative memory, is a hetereoassociative memory that presents the problem of incorrect pattern recall, even in the fundamental set, depending on the associations. In this work we propose a new algorithm and the corresponding theoretical support to improve the recalling capacity of the original model. © Springer-Ver lag Berlin Heidelberg 2007.
Original languageAmerican English
Title of host publicationPerfect recall on the lernmatrix
Pages835-841
Number of pages750
ISBN (Electronic)9783540723929
StatePublished - 24 Dec 2007
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4492 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

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Cite this

Román-Godínez, I., López-Yáñez, I., & Yáñez-Márquez, C. (2007). Perfect recall on the lernmatrix. In Perfect recall on the lernmatrix (pp. 835-841). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4492 LNCS).