NDLI: Optimizing a dental milling process by means of soft computing techniques

Content Provider	IEEE Xplore Digital Library
Author	Vera, V. Garcia, A.E. Suarez, M.J. Hernando, B. Corchado, E. Sanchez, M.A. Gil, A. Redondo, R. Sedano, J.
Copyright Year	2010
Description	Author affiliation: Departamento de Estomatología I & II, Facultad de Odontología, UCM, Madrid, Spain (Vera, V.; Garcia, A.E.; Suarez, M.J.; Hernando, B.) \|\| Department of Civil Engineering, University of Burgos, Burgos, Spain (Corchado, E.) \|\| Dept. of A. I. & Applied Electronics, Castilla y León Technological Institute, Burgos, Spain (Sedano, J.) \|\| Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain (Sanchez, M.A.; Gil, A.; Redondo, R.)
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.
Starting Page	1430
Ending Page	1435
File Size	319654
Page Count	6
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Computational modeling Exploratory Projection Pursuit Milling dental process Identification Systems Dentistry Feedforward neural networks Soft computing Systems Computational Intelligence Artificial Neural Networks Milling Manufacturing Non-linear Systems Principal component analysis
Content Type	Text
Resource Type	Article

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