Access the full text.
Sign up today, get DeepDyve free for 14 days.
(1986)
PDP: Explorations in the Micro-Structure of Cognition: 1
Davidson Davidson, Hemmendinger Hemmendinger, Landry Landry (1963)
A system of instrumental color control for the textile industryJ. Soc. Dyers Colour., 79
Van Hulst, Hendrik Christoffel (1980)
Multiple Light Scattering: Tables, Formulas, and Applications
E. Ganz (1977)
Proceedings of the Inter‐Society Color Council Technical Conference “Instrumental Colorant Formulation 1976” Williamsburg, Virginia. III Problems of Fluorescence in Colorant FormulationColor Research and Application, 2
(1984)
Boltzmann networks: Constraint Satisfaction networks that learn
(1988)
The Optical Properties of Printing Inks
Alderson Alderson, Altherton Altherton, Derbyshire Derbyshire (1961)
Modern physical techniques in colour formulationJ. Soc. Dyers Colour., 77
The Society of Dyers and Colourists
Nature, 77
D. Rumelhart, Geoffrey Hinton, Ronald Williams (1986)
Learning internal representations by error propagation
(1977)
Problems of Fluorescence in Colorant Formulation, Colour Research and Application: 2
I. Aleksander, W. Thomas, P. Bowden (1984)
WISARD·a radical step forward in image recognitionSensor Review, 4
(1976)
Practical Recipe Prediction Procedures including the use of fluorescent dyes
J. Bishop (1989)
Stochastic searching networks
J. Bishop (1989)
Anarchic techniques for pattern classification
(1986)
Review of Progress in Coloration
(1989)
Stochastic Searching Networks, Proc. 1st IEE conf. on Artificial Neural Networks. IEE Conf. Publication No. 313
B. Widrow, M. Hoff (1988)
Adaptive switching circuits
Ganz Ganz (1977)
Problems of flourescence in colorant formulationColor Res. Appl., 2
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.
Color Research & Application – Wiley
Published: Feb 1, 1991
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.