1993
DOI: 10.1177/004051759306300907
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Using Neural Networks to Predict Dye Concentrations in Multiple-Dye Mixtures

Abstract: A neural network is used to predict the concentrations of three dyes from their spectrophotometric absorbances. With this technique, the network achieves a peak of 5% and an average of 2.6% error over a range of 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 significantly better over the entire range of concentrations measured. ' Assistant Professor, College of Textiles. 2 Graduate Student, IMSEI. 3 Graduate Student, College of Te… Show more

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Cited by 31 publications
(10 citation statements)
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“…The absorbance spectra and l max values have been used to identify a substance, but are usually used to determine the amount of a material, such as a dyestuff or an auxiliary compound, in a solution. This is done by using Beer's Law and a calibration curve (Gary, 2000;Stearns, 1969;Logan, 1997;Spectrophotometric Analysis;Jasper et al, 1993;Marjoniemi and Mantysalo, 1997a,b;McDonald, 1997). In recent times, a derivative spectrophotometry method has been developed for determination of colorant mixtures.…”
Section: Spectroscopymentioning
confidence: 99%
“…The absorbance spectra and l max values have been used to identify a substance, but are usually used to determine the amount of a material, such as a dyestuff or an auxiliary compound, in a solution. This is done by using Beer's Law and a calibration curve (Gary, 2000;Stearns, 1969;Logan, 1997;Spectrophotometric Analysis;Jasper et al, 1993;Marjoniemi and Mantysalo, 1997a,b;McDonald, 1997). In recent times, a derivative spectrophotometry method has been developed for determination of colorant mixtures.…”
Section: Spectroscopymentioning
confidence: 99%
“…In recent days, artificial neural networks (ANN) have shown a great success for modelling nonlinear process. Prediction of yarn strength [6], ring and rotor yarn hairiness [7], dyeing time [8], dye concentrations in multiple dye mixtures [9], total hand evaluation of knitted fabrics [10] and tensile properties of needle punched non wovens [11], web density control in carding [12], classification of dyeing defects [13], evaluation of seem puckering in garments [14] and quality assessment of carpets [15] are some of the areas where ANNs have been attempted. In this study an attempt has been made to predict the spinning triangle height in ring frame using artificial neural networks.…”
Section: Introductionmentioning
confidence: 99%
“…The Beer-Lambert's law is written as Equation (1). This equation explains that absorbance value linearly proportional to concentration of the absorbing compound in solution (Choudhury, 2000;Jasper, Kovacs, & Berkstresser, 1993;Logan, 1997;McDonald, 1997;Owen, 2000;Stearns, 1969).…”
Section: Introductionmentioning
confidence: 99%