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An intelligent approach to colour recipe prediction
Author(s) -
Westland S.,
Bishops J M,
Bushnell M J,
Usher A L
Publication year - 1991
Publication title -
journal of the society of dyers and colourists
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 49
eISSN - 1478-4408
pISSN - 0037-9859
DOI - 10.1111/j.1478-4408.1991.tb01341.x
Subject(s) - recipe , computer science , fuzzy logic , artificial intelligence , production (economics) , reading (process) , machine learning , chemistry , food science , political science , law , economics , macroeconomics
Imagine a recipe prediction system that can deal with fuzzy real‐world data. Imagine a system that can automatically improve its performance over time and that can adapt to changes in production variables such as water supply or colorant strength. Until recently this could only be a description of a human colourist but a new technique of recipe prediction is being developed along these lines at Reading University.