Computer match prediction for fluorescent dyes by neural networks
| Author | Bezerra, Clovis de Medeiros; Hawkyard, C. J. | |
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| Publisher | John Wiley & Sons | |
| Date | 2006-06-22 | |
| Keywords | Fluorescent dyes Artificial neural network method Reflectance | |
| Citation | ||
| Abstract | Fluorescent dyes present difficulties for match prediction due to their variable excitation and emission characteristics, which depend on a variety of factors. An empirical approach is therefore favoured, such as that used in the artificial neural network method. In this paper, the production of a database with four acid dyes (two fluorescent and two non-fluorescent) is described, along with the large number of mixture dyeings that were carried out. The data were used to construct a network connecting reflectance values with concentrations in formulations. The results show that, although time consuming, this approach is viable and accurate | |
| Abstract | Fluorescent dyes present difficulties for match prediction due to their variable excitation and emission characteristics, which depend on a variety of factors. An empirical approach is therefore favoured, such as that used in the artificial neural network method. In this paper, the production of a database with four acid dyes (two fluorescent and two non-fluorescent) is described, along with the large number of mixture dyeings that were carried out. The data were used to construct a network connecting reflectance values with concentrations in formulations. The results show that, although time consuming, this approach is viable and accurate | |
| URI | https://repositorio.ufrn.br/handle/123456789/45230 | |
| Collections | CT - DET - Artigos publicados em periódicos |
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