TY  - GEN 
AU  - Krömer, Pavel
AU  - Novosád, Tomáš
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.
AU  - Václav, Snášel
PY  - 2013
SN  - 978-3-642-32921-0 (Print) / 978-3-642-32922-7 (Online)
SN  - 2194-5357(Print)/ 2194-5365(Online)
UR  - http://hdl.handle.net/10366/135168
AB  - This multidisciplinary study presents the application of two well known soft computing methods – flexible neural trees, and evolutionary fuzzy rules – for the prediction of the error parameter between real dental milling time and forecast given by the...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Evaluation of Novel Soft Computing Methods for the Prediction of the Dental Milling Time-Error Parameter
ER  -