TY - GEN
T1 - Genetic programming for the CNN-UM
AU - Pazienza, Giovanni Egidio
AU - Gómez-Ramírez, Eduardo
AU - Vilasís-Cardona, Xavier
PY - 2006
Y1 - 2006
N2 - We work on automatic tools - based on evolutionary techniques - to generate analogic algorithms and for image processing. The main improvements with respect to previous similar approaches regard the fitness function, and the way in which the template set for the GP algorithm is chosen. Our approach is successfully tested for different problems.
AB - We work on automatic tools - based on evolutionary techniques - to generate analogic algorithms and for image processing. The main improvements with respect to previous similar approaches regard the fitness function, and the way in which the template set for the GP algorithm is chosen. Our approach is successfully tested for different problems.
KW - Analogic algorithms
KW - Genetic programming
KW - Multi-template programs
KW - Weighted hamming distance
UR - http://www.scopus.com/inward/record.url?scp=47549103321&partnerID=8YFLogxK
U2 - 10.1109/CNNA.2006.341616
DO - 10.1109/CNNA.2006.341616
M3 - Conference contribution
AN - SCOPUS:47549103321
SN - 1424406404
SN - 9781424406401
T3 - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
BT - Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
T2 - 2006 10th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA 2006
Y2 - 28 August 2006 through 30 August 2006
ER -