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Application of neural networks to computer recipe prediction
Author(s) -
Bishop J. M.,
Bushnell M. J.,
Westland S.
Publication year - 1991
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.5080160104
Subject(s) - recipe , computer science , artificial neural network , artificial intelligence , reading (process) , reflectivity , automaton , machine learning , chemistry , physics , food science , optics , political science , law
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.