The purpose of a dyeing process is to impart into a fiber a color that has desirable qualities through the use of a bath solution. The success of an operation is dependent on a variety of factors including fiber content, dye composition, dyebath pH, time, and temperature. In the event of a failed run, the addition of a correct amount of each dye that will move the dye run from a fail condition to a pass condition is a subjective judgement of an experienced operator. This paper presents a neural network approach for analyzing the dyeing process. Predictions of dye additions were obtained with promising results.