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Continuous classifying associative memory
Author(s) -
Bailón Antonio B.,
Delgado Miguel,
Fajardo Waldo
Publication year - 2002
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10028
Subject(s) - computer science , spurious relationship , associative property , content addressable memory , bidirectional associative memory , dependency (uml) , artificial intelligence , pattern recognition (psychology) , machine learning , artificial neural network , mathematics , pure mathematics
In this article we present the so‐called continuous classifying associative memory, able to store continuous patterns avoiding the problems of spurious states and data dependency. This is a memory model based on our previously developed classifying associative memory, which enables continuous patterns to be stored and recovered. We will also show that the behavior of this continuous classifying associative memory may be adjusted to some predetermined goals by selecting some internal operating functions. © 2002 Wiley Periodicals, Inc.