TY - JOUR
T1 - Transforming fundamental set of patterns to a canonical form to improve pattern recall
AU - Sossa, Humberto
AU - Barrón, Ricardo
AU - Vázquez, Roberto A.
PY - 2004
Y1 - 2004
N2 - Most results (lemmas and theorems) providing conditions under which associative memories are able to perfectly recall patterns of a fundamental set are very restrictive in most practical applications. In this note we describe a simple but effective procedure to transform a fundamental set of patterns (FSP) to a canonical form that fulfils the propositions. This way pattern recall is strongly improved. We provide numerical and real examples to reinforce the proposal.
AB - Most results (lemmas and theorems) providing conditions under which associative memories are able to perfectly recall patterns of a fundamental set are very restrictive in most practical applications. In this note we describe a simple but effective procedure to transform a fundamental set of patterns (FSP) to a canonical form that fulfils the propositions. This way pattern recall is strongly improved. We provide numerical and real examples to reinforce the proposal.
UR - http://www.scopus.com/inward/record.url?scp=22944434541&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-30498-2_69
DO - 10.1007/978-3-540-30498-2_69
M3 - Artículo de la conferencia
AN - SCOPUS:22944434541
SN - 0302-9743
VL - 3315
SP - 687
EP - 696
JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
T2 - 9th Ibero-American Conference on AI: Advances in Artificial Intelligence- IBERAMIA 2004
Y2 - 22 November 2004 through 26 November 2004
ER -