TY  - JOUR 
AU  - Krömer, Pavel
AU  - Novosád, Tomáš
AU  - Snášel, Václav
AU  - Vera González, Vicente
AU  - Hernando, Beatriz
AU  - García Hernández, Laura
AU  - Quintián Pardo, Héctor
AU  - Corchado Rodríguez, Emilio Santiago
AU  - Redondo Guevara, Raquel
AU  - Sedano Franco, Javier
AU  - García Barbero, Álvaro E.
PY  - 2012
SN  - 978-3-642-32638-7 (Print) / 978-3-642-32639-4 (Online)
SN  - 0302-9743 (Print) / 1611-3349 (Online)
UR  - http://hdl.handle.net/10366/134840
AB  - This multidisciplinary study presents the application of two soft computing methods utilizing the artificial evolution of symbolic structures – evolutionary fuzzy rules and flexible neural trees – for the prediction of dental milling time-error, i.e....
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules
ER  -