USING NEURAL NETWORKS TO PREDICT DYE CONCENTRATIONS IN MULTIPLE-DYE MIXTURES

A neural network is used to predict the concentrations of three dyes f rom their spectrophotometric absorbances. With this technique, the net work achieves a peak of 5% and an average of 2.6% error over a range o f dye concentrations of 0 to 0.15 g/l. The neural network is evaluated against two other models based on Beer's law, and performs significan tly better over the entire range of concentrations measured.