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Application of neural networks to computer recipe prediction

Application of neural networks to computer recipe prediction Conventional mechanisms for computer colorant formulation commonly employ the Kubelka‐Munk theory to relate reflectance values to colorant concentrations. However, there are situations where this approach is not applicable and hence an alternative is desirable. One such method is to utilize artificial intelligence techniques to mimic the behavior of the professional colorist. The purpose of this paper is to describe recent research being carried out at Reading University, sponsored by Courtaulds Research, that utilizes collections of cellular automata, known as neural networks, in the problem of recipe prediction. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Color Research & Application Wiley

Application of neural networks to computer recipe prediction

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References (18)

Publisher
Wiley
Copyright
Copyright © 1991 Wiley Periodicals, Inc., A Wiley Company
ISSN
0361-2317
eISSN
1520-6378
DOI
10.1002/col.5080160104
Publisher site
See Article on Publisher Site

Abstract

Conventional mechanisms for computer colorant formulation commonly employ the Kubelka‐Munk theory to relate reflectance values to colorant concentrations. However, there are situations where this approach is not applicable and hence an alternative is desirable. One such method is to utilize artificial intelligence techniques to mimic the behavior of the professional colorist. The purpose of this paper is to describe recent research being carried out at Reading University, sponsored by Courtaulds Research, that utilizes collections of cellular automata, known as neural networks, in the problem of recipe prediction.

Journal

Color Research & ApplicationWiley

Published: Feb 1, 1991

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