TY - GEN
T1 - An alternative proof of the universality of the CNN-UM and its practical applications
AU - Pazienza, Giovanni Egidio
AU - Vilasís-Cardona, Xavier
AU - Poli, Riccardo
PY - 2008
Y1 - 2008
N2 - In this paper we give a proof of the universality of the Cellular Neural Network - Universal Machine (CNN-UM) alternative to those presented so far. On the one hand, this allows to find a general structure for CNN-UM programs; on the other hand, it helps to formally demonstrate that machine learning techniques can be used to find CNN-UM programs automatically. Finally, we report on two experiments in which our system is able to propose new efficient solutions.
AB - In this paper we give a proof of the universality of the Cellular Neural Network - Universal Machine (CNN-UM) alternative to those presented so far. On the one hand, this allows to find a general structure for CNN-UM programs; on the other hand, it helps to formally demonstrate that machine learning techniques can be used to find CNN-UM programs automatically. Finally, we report on two experiments in which our system is able to propose new efficient solutions.
UR - http://www.scopus.com/inward/record.url?scp=51949109112&partnerID=8YFLogxK
U2 - 10.1109/CNNA.2008.4588646
DO - 10.1109/CNNA.2008.4588646
M3 - Conference contribution
AN - SCOPUS:51949109112
SN - 9781424420902
T3 - Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications
SP - 34
EP - 39
BT - 2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures
T2 - 2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures
Y2 - 14 July 2008 through 16 July 2008
ER -