nach oben

Neural Computing and Applications

Erschienen in:

01.05.2007 | Original Article

Technological information extraction of free form surfaces using neural networks

verfasst von: Marjan Korosec

Erschienen in: Neural Computing and Applications | Ausgabe 4-5/2007

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The aim of this paper is to show how to predict the accurate machining technology for the particular free form NURBS or B-spline surface. Since that kind of a surface is very hard to describe in an analytical manner, the topological and geometrical information about the surface was acquired with the help of self-organized neural networks (NNs) and first- or second-order statistic parameters. It is proved that the most significant parameter in this process is the curvature, especially when rapid changes of curvature on a free form surface occurred. As the Gaussian distribution of surface curvatures and slope gradient data were presumed, the mean and variance was used for one-dimensional data presentation, and the Hebbian output data vector was used to assess probability, density function and distribution of the presented data. For collecting the maximum amount of surface information, the principal component analysis method inside the Hebbian NN was used.

Vorheriger Artikel Advanced self-organizing polynomial neural network

Nächster Artikel A hierarchical neural model with time windows in long-term electrical load forecasting

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Austin SP, Jerard RB, Drysdale RL (1997) Comparison of discretization algorithms for NURBS surfaces with application to numerically controlled machining. Comput Aided Des 29(1):77–83CrossRef

Böhm J, Brenner C (2004) Curvature based range image classification for machining object recognition. Institute for Photogrammetry, University of Stuttgart, Germany

Cover T, Thomas J (1991) Elements of information theory. Wiley, New YorkMATH

Diamantaras K, Kung S (1996) Principal component analysis networks. Theory and applications. Wiley, New York

Elber G (1994) Free form surface region optimization for three and five axis milling, Technical report CIS9403. Technion, Israel Institute of Technology, Haifa 32000, Israel

Fisher J, Lowther J, Shene CK (2004) If You Know BSplines Well, You Also Know NURBS!. Department of Computer Science Michigan Technological University, SIGCSE’04

Flynn P, Jain A (1989) On reliable curvature estimation. In: IEEE Conference on Pattern Recognition, pp 110–116

Gordon GG (1990) Face recognition based on depth maps and surface curvature. Harvard Robotics Laboratory Technical report MA 02138, Harvard University

Higashi M, Tsutamori H, Hosaka M (1996) Generation of smooth surfaces by controlling curvature variation, vol 15. Eurographics Associations, Toyota Technological Institute, 2-12-1, Hisakata, Nagoya468, Japan

10.

Ip CY, Lapadat D, Sieger L, Regli WC Using shape distribution to compare solid models; URL: http://www.mcs.drexel.edu/∼regli. Department of Mathematics and Computer Science, Drexel University

11.

Ko KH (2003) Algorithms for Three-Dimensional Free-Form Object Matching. Master thesis, Massachusetts Institute of Technology, MA

12.

Korosec M (2003) Optimization of free form surface machining, using neural networks. Dissertation, University of Maribor, Faculty of technical engineering

13.

Korosec M, Balic J, Kopac J (2005) Neural network based manufacturability evaluation of free form machining. Int J Mach Tools Manuf 45(1):13–20. http://dx.doi. org/10.1016/j.ijmachtools.2004.06.022 [COBISS.SI-ID 8975894]

14.

Lilienblum T, Albrecht P, Michaelis B (1996) Improvement of 3D data by neural networks in free form machining.In: Proceeding International Workshop on Neural Networks for Identification, pp203–211

15.

Litvin A, Karl WC (2004) Using shape distributions as priors in a curve evolution framework. In: Proceeding of IS&T/SPIE 16th Annual Symposium Electronic Imaging Science and Technology, San Jose, CA

16.

Martin R (1998) Estimation of principal curvatures from range data. Int J Shape Model 3(4):99–109CrossRef

17.

Onwubolu GC (1999) Manufacturing features recognition using backpropagation neural networks. J Intell Manuf 10:289–299CrossRef

18.

Osada R, Funkhouser T, Chazelle B, Dobkin D (2001) Matching 3D models with shape distributions in free form machining. In: International conference on shape modeling and applications. IEEE Computer Society Press, Genova, Italy, pp154–166

19.

Principe JC, Euliano NR, Lefebvre WC (2000) Neural and adaptive systems, Fundamentals through simulations. Wiley, New York

20.

Stokely EM, Wu SY (1992) Surface parameterization and curvature measurement of arbitrary 3D objects: five practical methods. IEEE Trans Pattern Anal Mach Intell 14(8):833–840CrossRef

21.

Yinghua W (2004) New approaches for computing tolerance zones of 3D CAD models. Master thesis, Institute for Engineering Design Technische Universität Carolo Wilhelmina Braunschweig, Germany

Titel: Technological information extraction of free form surfaces using neural networks
verfasst von: Marjan Korosec
Publikationsdatum: 01.05.2007
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 4-5/2007
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-006-0071-9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 4-5/2007

Predicting the distance between antibody’s interface residue and antigen to recognize antigen types by support vector machine

Modeling of neurotransmitter effects in olfactory bulb

Modeling of inhibition/excitation firing in olfactory bulb through spiking neurons

Evaluation of the performance of backpropagation and radial basis function neural networks in predicting the drill flank wear

Extracting the main patterns of natural time series for long-term neurofuzzy prediction

Controlling the parallel layer perceptron complexity using a multiobjective learning algorithm

Premium Partner