Title :
Optimizing a dental milling process by means of soft computing techniques
Author :
Vera, Vicente ; Garcia, Alvaro Enrique ; Suarez, Maria Jesus ; Hernando, Beatriz ; Corchado, Emilio ; Sanchez, Maria Araceli ; Gil, Ana ; Redondo, Raquel ; Sedano, Javier
Author_Institution :
Dept. de Estomatologia I & II, UCM, Madrid, Spain
fDate :
Nov. 29 2010-Dec. 1 2010
Abstract :
A novel soft computing system to optimize a dental milling process is proposed. The model is based on the initial application of several statistical and projection methods as Principal Component Analysis and Cooperative Maximum Likelihood Hebbian Learning to analyze the structure of the data set and to identify the most relevant variables. Finally, a supervised neural model and identification techniques are applied, in order to model the process and optimize it. In this study a real data set obtained by a dynamic machining center with five axes simultaneously is analyzed to empirically test the novel system in order to optimize the time error.
Keywords :
Hebbian learning; dentistry; maximum likelihood estimation; milling; neural nets; orthotics; principal component analysis; production engineering computing; cooperative maximum likelihood Hebbian learning; dental milling process; dynamic machining center; identification techniques; principal component analysis; soft computing system; supervised neural model; Artificial Neural Networks; Computational Intelligence; Exploratory Projection Pursuit; Identification Systems; Milling dental process; Non-linear Systems; Soft computing Systems;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8134-7
DOI :
10.1109/ISDA.2010.5687111
