Coactive neuro-fuzzy modelling for colour recipe prediction

Explores neuro-fuzzy approaches to computerized colour recipe prediction which relates surface spectral reflectance of a target colour to several colorant proportions. The approaches are expressed within the framework of CANFIS (co-active neuro-fuzzy inference system) where both neural networks (NNs) and fuzzy systems (FSs) play active roles together in pursuit of a given task. To find an ideal adaptive model for this problem, the authors have investigated a variety of structures, they feature knowledge-embedded architectures and an adaptive FS, which serves to determine colour selection. They have enormous potential for augmenting prediction capability.