DocumentCode
288812
Title
Application of backpropagation nets for color recipe prediction as a nonlinear approximation problem
Author
Spehl, J. ; Wölker, M. ; Kettler, W.H. ; Pelzl, J.
Author_Institution
Dortmund Univ., Germany
Volume
5
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
3336
Abstract
This paper deals with the color recipe prediction and discusses on how a backpropagation net can be used to overcome the nonlinearities intrinsic to the problem. Experiments with a set of up to 18 different colored pigments are reported which demonstrate the capabilities of the neural approach
Keywords
backpropagation; colour; neural nets; pattern classification; reflection; backpropagation nets; color recipe prediction; colored pigments; neural nets; nonlinear approximation; nonlinearities; Absorption; Backpropagation; Equations; Light scattering; Optical reflection; Optical scattering; Optical surface waves; Particle scattering; Pigments; Reflectivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374771
Filename
374771
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