Abstract
We propose the development of Artificial Neural Networks (RNAS) as an alternative tool for estimating the viscosity, density and solids content of solvent-based inks from graphic and infrared spectroscopy of white and black inks. The ability to learn by example and to generalize the information learned is undoubtedly the main attraction of RNA problem solving. Due to these advantages, thi…