We explore neuro-fuzzy approaches to computerized color recipe prediction, which relates surface spectral reflectance of a target color to several colorant proportions. The approaches are expressed within the framework of CANFIS (CoActive 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, we have investigated a variety of structures: they feature knowledge-embedded architectures and an adaptive FS, which serves to determine color selection. They have enormous potential for augmenting prediction capability.
|Number of pages||6|
|Publication status||Published - 1995|
|Event||Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust|
Duration: Nov 27 1995 → Dec 1 1995
|Other||Proceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)|
|Period||11/27/95 → 12/1/95|
All Science Journal Classification (ASJC) codes