TY - GEN
T1 - Automatic design of artificial neural networks and associative memories for pattern classification and pattern restoration
AU - Sossa, Humberto
AU - Garro, Beatriz A.
AU - Villegas, Juan
AU - Avilés, Carlos
AU - Olague, Gustavo
PY - 2012
Y1 - 2012
N2 - In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.
AB - In this note we present our most recent advances in the automatic design of artificial neural networks (ANNs) and associative memories (AMs) for pattern classification and pattern recall. Particle Swarm Optimization (PSO), Differential Evolution (DE), and Artificial Bee Colony (ABC) algorithms are used for ANNs; Genetic Programming is adopted for AMs. The derived ANNs and AMs are tested with several examples of well-known databases. As we will show, results are very promising.
KW - Artificial neural networks
KW - Associative memories
KW - Evolutionary programming
UR - http://www.scopus.com/inward/record.url?scp=84864241035&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31149-9_3
DO - 10.1007/978-3-642-31149-9_3
M3 - Contribución a la conferencia
SN - 9783642311482
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 23
EP - 34
BT - Pattern Recognition - 4th Mexican Conference, MCPR 2012, Proceedings
T2 - 4th Mexican Conference on Pattern Recognition, MCPR 2012
Y2 - 27 June 2012 through 30 June 2012
ER -