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https://repositorio.ufrn.br/handle/123456789/45230| Title: | Computer match prediction for fluorescent dyes by neural networks |
| Authors: | Bezerra, Clovis de Medeiros Hawkyard, C. J. |
| Keywords: | Fluorescent dyes;Artificial neural network method;Reflectance |
| Issue Date: | 22-Jun-2006 |
| Publisher: | John Wiley & Sons |
| Citation: | BEZERRA, Clovis de Medeiros; HAWKYARD, C.J. Computer match prediction for fluorescent dyes by neural networks. Coloration Technology, [S. l.], v. 116, n. 5-6, p. 163-169, maio 2000. Wiley. Disponível em: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1478-4408.2000.tb00035.x. Acesso em: 04 dez. 2021. DOI: http://dx.doi.org/10.1111/j.1478-4408.2000.tb00035.x. |
| Portuguese 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 |
| ISSN: | 1478-4408 |
| Appears in Collections: | CT - DET - Artigos publicados em periódicos |
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