Computer match prediction for fluorescent dyes by neural networks

Detalhes bibliográficos
Autor(a) principal: Bezerra, Clovis de Medeiros
Data de Publicação: 2006
Outros Autores: Hawkyard, C. J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/45230
Resumo: 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
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spelling Bezerra, Clovis de MedeirosHawkyard, C. J.2021-12-07T17:58:08Z2021-12-07T17:58:08Z2006-06-22BEZERRA, 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.1478-4408https://repositorio.ufrn.br/handle/123456789/452301478-4408.2000.tb00035.xFluorescent 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 accurateFluorescent 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 accurateJohn Wiley & SonsAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessFluorescent dyesArtificial neural network methodReflectanceComputer match prediction for fluorescent dyes by neural networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/45230/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/45230/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/452302022-05-27 19:01:56.868oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2022-05-27T22:01:56Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Computer match prediction for fluorescent dyes by neural networks
title Computer match prediction for fluorescent dyes by neural networks
spellingShingle Computer match prediction for fluorescent dyes by neural networks
Bezerra, Clovis de Medeiros
Fluorescent dyes
Artificial neural network method
Reflectance
title_short Computer match prediction for fluorescent dyes by neural networks
title_full Computer match prediction for fluorescent dyes by neural networks
title_fullStr Computer match prediction for fluorescent dyes by neural networks
title_full_unstemmed Computer match prediction for fluorescent dyes by neural networks
title_sort Computer match prediction for fluorescent dyes by neural networks
author Bezerra, Clovis de Medeiros
author_facet Bezerra, Clovis de Medeiros
Hawkyard, C. J.
author_role author
author2 Hawkyard, C. J.
author2_role author
dc.contributor.author.fl_str_mv Bezerra, Clovis de Medeiros
Hawkyard, C. J.
dc.subject.por.fl_str_mv Fluorescent dyes
Artificial neural network method
Reflectance
topic Fluorescent dyes
Artificial neural network method
Reflectance
description 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
publishDate 2006
dc.date.issued.fl_str_mv 2006-06-22
dc.date.accessioned.fl_str_mv 2021-12-07T17:58:08Z
dc.date.available.fl_str_mv 2021-12-07T17:58:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv 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.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/45230
dc.identifier.issn.none.fl_str_mv 1478-4408
dc.identifier.doi.none.fl_str_mv 1478-4408.2000.tb00035.x
identifier_str_mv 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.
1478-4408
1478-4408.2000.tb00035.x
url https://repositorio.ufrn.br/handle/123456789/45230
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Brazil
http://creativecommons.org/licenses/by/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
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