Odontología
Fakultät
![Foto de Odontología](/img/uploaded/A46D2A9E281E1E6346C4A4C905DCD000.jpg)
![Foto de Universidad de Burgos](/img/noimage_org.png)
Universidad de Burgos
Burgos, EspañaPublikationen in Zusammenarbeit mit Forschern von Universidad de Burgos (12)
2013
-
A novel hybrid intelligent system for multi-objective machine parameter optimization
Pattern Analysis and Applications, Vol. 18, Núm. 1, pp. 31-44
-
Applying soft computing techniques to optimise a dental milling process
Neurocomputing, Vol. 109, pp. 94-104
-
Evaluation of novel soft computing methods for the prediction of the dental milling time-error parameter
Advances in Intelligent Systems and Computing
2012
-
Prediction of dental milling time-error by flexible neural trees and fuzzy rules
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011
-
A hybrid system for dental milling parameters optimisation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Intelligent operating conditions design by means of bio-inspired models
Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011
-
Machine parameters optimisation using soft computing techniques for a dental milling process
Advances in Intelligent and Soft Computing
2010
-
A bio-inspired computational high-precision dental milling system
Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010
-
Optimizing a dental milling process by means of soft computing techniques
Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
2004
-
Maintenance of soft calibration models in the determination of zinc, cadmium, lead and copper by differential pulse anodic stripping voltammetry
Electroanalysis, Vol. 16, Núm. 9, pp. 748-756
2003
-
Capability of detection of an analytical method evaluating false positive and false negative (ISO 11843) with partial least squares
Chemometrics and Intelligent Laboratory Systems, Vol. 69, Núm. 1-2, pp. 21-33
-
Multivariate analytical sensitivity in the determination of selenium, copper, lead and cadmium by stripping voltammetry when using soft calibration
Analytica Chimica Acta, Vol. 489, Núm. 1, pp. 85-94