A new theoretical framework for the Steinbuch's Lernmatrix (original) (raw)
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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.
Publication:
Mathematical Methods in Pattern and Image Analysis
Pub Date:
August 2005
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