Application of backpropagation nets for color recipe prediction as a nonlinear approximation problem

This paper deals with the color recipe prediction and discusses on how a backpropagation net can be used to overcome the nonlinearities intrinsic to the problem. Experiments with a set of up to 18 different colored pigments are reported which demonstrate the capabilities of the neural approach.<
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