Fitting 3D data points by extending the neural networks paradigm

Computational Engineering

Volumn , Issue , 2001, Pages 809-818

  Iglesias, A ^a   Galvez A ^a  

^a UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA RECORDING; DATA STRUCTURES; GRAPH THEORY; MATHEMATICAL MODELS; PROBLEM SOLVING;

DATA POINTS; FUNCTIONAL NETWORKS; INDUSTRIAL DESIGNS;

NEURAL NETWORKS;

EID: 2942682947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Franke, R.H. & Schumaker, L.L. A bibliography of multivariate approximation. Topics in Multivariate Approximation, ed. C.K. Chui, L.L. Schumaker & F.I. Utreras, Academic Press: New York, pp. 275-335, 1987.
2. Mason, J.C. & Cox, M.G. (eds.) Algorithms for Approximation II, Chapman and Hall: London and New York, 1990.
3. Farin, G. Curves and Surfaces for Computer Aided Geometric Design, Academic Press: San Diego, 1993.
4. Piegl, L. & Tiller, W. The NURBS Book, Second Edition, Springer-Verlag: Berlin Heidelberg, 1997.
5. Freeman, J.A. Simulating Neural Networks with Mathematica, Addison Wesley: Reading MA, 1994.
6. Hertz, J., Krogh, A. & Palmer, R.G. Introduction to the Theory of Neural Computation, Addison Wesley: Reading MA, 1991.
7. Aczél, J. Lectures on functional equations and their applications, Academic Press: San Diego, 1966.
8. Castillo, E. & Iglesias, A. Some characterizations of families of surfaces using functional equations. ACM Transactions on Graphics, 16(3), pp. 296-318, 1997.