TY - GEN
T1 - A new classifier based on associative memories
AU - Román-Godínez, Israel
AU - López-Yáñez, Itzamá
AU - Yáñez-Márquez, Cornelio
PY - 2006
Y1 - 2006
N2 - The Lernmatrix, which is the first known model of associative memory, is an heteroassociative memory, but it can also act as a binary pattern classifier depending on the choice of the output patterns. However, this model suffers two great problems: saturation and imperfect recall of some of the associations, even in the fundamental set, depending on the associations. In this work, a modification to the original Lernmatrix recall phase algorithm is presented. This modification improves the recalling capacity of the original model Experimental results show this improvement
AB - The Lernmatrix, which is the first known model of associative memory, is an heteroassociative memory, but it can also act as a binary pattern classifier depending on the choice of the output patterns. However, this model suffers two great problems: saturation and imperfect recall of some of the associations, even in the fundamental set, depending on the associations. In this work, a modification to the original Lernmatrix recall phase algorithm is presented. This modification improves the recalling capacity of the original model Experimental results show this improvement
UR - http://www.scopus.com/inward/record.url?scp=37249046894&partnerID=8YFLogxK
U2 - 10.1109/CIC.2006.13
DO - 10.1109/CIC.2006.13
M3 - Contribución a la conferencia
AN - SCOPUS:37249046894
SN - 0769527086
SN - 9780769527086
T3 - Proceedings - 15th International Conference on Computing, CIC 2006
SP - 55
EP - 59
BT - Proceedings - 15th International Conference on Computing, CIC 2006
T2 - 15th International Conference on Computing, CIC 2006
Y2 - 21 November 2006 through 24 November 2006
ER -