A new theoretical framework for the steinbuch's lernmatrix

F. A. Sánchez-Garfias; J. L. Díaz-De-León S; C. Yáñez-Márquez

doi:10.1117/12.621551

A new theoretical framework for the steinbuch's lernmatrix

F. A. Sánchez-Garfias, J. L. Díaz-De-León S, C. Yáñez-Márquez

Centro de Investigación en Computación (CIC)

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

This article introduces a new theoretical framework to describe the behavior of the Steinbuch's Lernmatrix. The properties of this old associative memory can be modeled using set theory and order relationships, analogously to morphological associative memories. The obtained results allow the Lernmatrix, four decades before its creation, to be a good alternative for pattern classification and recognition.

Original language	English
Article number	59160N
Pages (from-to)	1-9
Number of pages	9
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5916
DOIs	https://doi.org/10.1117/12.621551
State	Published - 2005
Event	Mathematical Methods in Pattern and Image Analysis - San Diego, CA, United States Duration: 3 Aug 2005 → 4 Aug 2005

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AB - This article introduces a new theoretical framework to describe the behavior of the Steinbuch's Lernmatrix. The properties of this old associative memory can be modeled using set theory and order relationships, analogously to morphological associative memories. The obtained results allow the Lernmatrix, four decades before its creation, to be a good alternative for pattern classification and recognition.

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A new theoretical framework for the steinbuch's lernmatrix

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