TY - GEN
T1 - Perfect recall on the lernmatrix
AU - Román-Godínez, Israel
AU - López-Yáñez, Itzamá
AU - Yáñez-Márquez, Cornelio
PY - 2007
Y1 - 2007
N2 - The Lernmatrix, which is the first known model of associative memory, is a hetereoassociative memory that presents the problem of incorrect pattern recall, even in the fundamental set, depending on the associations. In this work we propose a new algorithm and the corresponding theoretical support to improve the recalling capacity of the original model.
AB - The Lernmatrix, which is the first known model of associative memory, is a hetereoassociative memory that presents the problem of incorrect pattern recall, even in the fundamental set, depending on the associations. In this work we propose a new algorithm and the corresponding theoretical support to improve the recalling capacity of the original model.
UR - http://www.scopus.com/inward/record.url?scp=37249093072&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72393-6_100
DO - 10.1007/978-3-540-72393-6_100
M3 - Contribución a la conferencia
SN - 9783540723929
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 835
EP - 841
BT - Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
PB - Springer Verlag
T2 - 4th International Symposium on Neural Networks, ISNN 2007
Y2 - 3 June 2007 through 7 June 2007
ER -