Achieving expected depth of shade in reactive dye application using artificial neural network technique |
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| Affiliation: | 1. Department of Chemistry, Faculty of Science, University of Damietta, Damietta 34517, Egypt;2. Department of Chemistry, Faculty of Science, University of Port Said, Port Said, Egypt;1. Infectious Diseases Laboratory, 4th Department of Internal Medicine, University General Hospital “Attikon”, Medical School, National and Kapodistrian University of Athens, 1 Rimini Str, 124 62, Chaidari, Athens, Greece;2. Technological Education Institute of Pireaus, School of Applied Technology, Thivon 250, 12244, Egaleo, Greece;3. Nanobranes, Gentstraat 367, Oostakker, Belgium |
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| Abstract: | Achieving the expected depth of shade in the production of dyed goods is a very important aspect. It requires the termination of the process at the right time in other words, correct duration of dyeing should be used. Prediction of this duration for the application of reactive HE dyes on cotton fabric using artificial neural network (ANN) is reported. The results obtained from the network gives an average training error of around 1% in the prediction of the time duration for achieving the correct depth of shade. The trained network gives the same average error % when tested with other reactive HE dyes even when the input parameters selected are beyond the range of inputs, which were used for training the network. |
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