Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/3192 |
Resumo: | The fragrance and flavoring industry (F&F) generates millions of dollars worldwide and is responsible for the olfactory characteristics of personal hygiene products, perfumes, cosmetics, house holding and any and all products that contain an artificially produced aroma. The research and development of new fragrances are concentrated among the 5 largest fragrance houses in the world and for that reason there is a great concern to maintain the secrecy between the creative processes of these companies. This fierce competition market limits the capacity for innovation in the creation of new products to what is usually successful in the market and the acceptance statistics of those who have been proposed among competitors. These companies are increasingly restricted to innovating within a previously launched universe, producing flankers - versions of products already established in the market. Thus, this article aims to graphically analyze data from a virtual perfumery library, modeled using a multi-layered neural network and resilient backpropagation neural network, validated through principal component analysis. Graphical analysis provides an interpretation of the correlations between levels of consumer acceptance for a perfume and the performance indicators for that fragrance. This study reiterates the existence of correlations between the user's consumption profile and the properties of the fragrances, supporting future studies of exclusive formulation of individually customized compositions for groups or individuals, demonstrating potential use in perfume engineering. |
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Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main componentsAnálisis gráfico de correlaciones entre niveles de aceptación del consumidor, longevidad y ensilaje de fragancias, a través de redes neuronales artificiales y análisis de componentes principaleAnálise gráfica de correlações entre níveis de aceitação dos consumidores, longevidade e silagem de fragrâncias, através de redes neurais artificiais e análise de componentes principaisPerfumesFraganciasRedes neuronales artificialesIndicadores de rendimentoPCA.PerfumesFragrancesArtificial neural networksPerformance indicatorsPCA.PerfumesFragrânciasRedes neurais artificiaisIndicadores de desempenhoPCA.The fragrance and flavoring industry (F&F) generates millions of dollars worldwide and is responsible for the olfactory characteristics of personal hygiene products, perfumes, cosmetics, house holding and any and all products that contain an artificially produced aroma. The research and development of new fragrances are concentrated among the 5 largest fragrance houses in the world and for that reason there is a great concern to maintain the secrecy between the creative processes of these companies. This fierce competition market limits the capacity for innovation in the creation of new products to what is usually successful in the market and the acceptance statistics of those who have been proposed among competitors. These companies are increasingly restricted to innovating within a previously launched universe, producing flankers - versions of products already established in the market. Thus, this article aims to graphically analyze data from a virtual perfumery library, modeled using a multi-layered neural network and resilient backpropagation neural network, validated through principal component analysis. Graphical analysis provides an interpretation of the correlations between levels of consumer acceptance for a perfume and the performance indicators for that fragrance. This study reiterates the existence of correlations between the user's consumption profile and the properties of the fragrances, supporting future studies of exclusive formulation of individually customized compositions for groups or individuals, demonstrating potential use in perfume engineering.La industria de fragancias y saborizantes (F&F) genera millones de dólares en todo el mundo y es responsable de las características olfativas de los productos de higiene personal, perfumes, cosméticos, productos para el hogar y todos los productos que contienen un aroma producido artificialmente. La investigación y el desarrollo de nuevas fragancias se concentran entre las 5 casas de fragancias más grandes del mundo y, por esa razón, existe una gran preocupación por mantener el secreto entre los procesos creativos de estas empresas. Este mercado de competencia feroz limita la capacidad de innovación en la creación de nuevos productos a lo que generalmente tiene éxito en el mercado y las estadísticas de aceptación de los que se han propuesto entre los competidores. Estas compañías están cada vez más restringidas a innovar dentro de un universo previamente lanzado, produciendo flankers, versiones de productos ya establecidos en el mercado. Por lo tanto, este artículo tiene como objetivo analizar gráficamente los datos de una biblioteca virtual de perfumería, modelada utilizando una red neuronal de varias capas y una red neuronal de retropropagación resistente, validada a través del análisis de componentes principales. El análisis gráfico proporciona una interpretación de las correlaciones entre los niveles de aceptación del consumidor para un perfume y los indicadores de rendimiento para esa fragancia. Este estudio reitera la existencia de correlaciones entre el perfil de consumo del usuario y las propiedades de las fragancias, apoyando futuros estudios de formulación exclusiva de composiciones personalizadas individualmente para grupos o individuos, demostrando un uso potencial en la ingeniería de perfumes.A indústria de fragrâncias e flavorizantes (F&F) movimenta milhões de dólares em todo o mundo e é responsável pelas características olfativas de produtos de higiene pessoal, perfumaria, cosméticos, house holding e todo e qualquer produto que contenha um aroma produzido artificialmente. A pesquisa e o desenvolvimento de novas fragrâncias estão concentrados entre as 5 maiores casas de fragrâncias do mundo e por essa razão há uma grande preocupação em manter o sigilo entre os processos criativos dessas empresas. Esse mercado de competição acirrada limita a capacidade de inovação na criação de novos produtos ao que costuma fazer sucesso no mercado e as estatísticas de aceitação do quem vem sendo proposto entre as concorrentes. Essas empresas se restringem cada vez mais a inovar dentro de um universo lançado anteriormente, produzindo flankers- versões de produtos já consagrados no mercado. Dessa forma, esse artigo possui como objetivo analisar graficamente dados de uma biblioteca virtual de perfumaria, modelados através de rede neural múltipla camada retroalimentada e rede neural de retropropagação resiliente, validadas através de análise de componentes principais. A análise gráfica fornece a interpretação das correlações existentes entre níveis de aceitação do consumidor para um perfume e os indicadores de desempenho dessa fragrância. Esse estudo reitera a existência de correlações entre o perfil de consumo do usuário e as propriedades das fragrâncias, embasando futuros estudos de formulação exclusiva de composições personalizadas individualmente para grupos ou indivíduos, demonstrando potencial uso na engenharia de perfumes.Research, Society and Development2020-04-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/319210.33448/rsd-v9i6.3192Research, Society and Development; Vol. 9 No. 6; e194963192Research, Society and Development; Vol. 9 Núm. 6; e194963192Research, Society and Development; v. 9 n. 6; e1949631922525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/3192/3922Copyright (c) 2020 Vanessa Gomes Matos, Regina Ferreira Vianna, Diego de Jesus Leiteinfo:eu-repo/semantics/openAccessMatos, Vanessa GomesVianna, Regina FerreiraLeite, Diego de Jesus2020-08-20T18:05:46Zoai:ojs.pkp.sfu.ca:article/3192Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:27:29.002206Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components Análisis gráfico de correlaciones entre niveles de aceptación del consumidor, longevidad y ensilaje de fragancias, a través de redes neuronales artificiales y análisis de componentes principale Análise gráfica de correlações entre níveis de aceitação dos consumidores, longevidade e silagem de fragrâncias, através de redes neurais artificiais e análise de componentes principais |
title |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components |
spellingShingle |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components Matos, Vanessa Gomes Perfumes Fragancias Redes neuronales artificiales Indicadores de rendimento PCA. Perfumes Fragrances Artificial neural networks Performance indicators PCA. Perfumes Fragrâncias Redes neurais artificiais Indicadores de desempenho PCA. |
title_short |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components |
title_full |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components |
title_fullStr |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components |
title_full_unstemmed |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components |
title_sort |
Graphical analysis of correlations between levels of consumer acceptance, longevity and fragrance silage, through artificial neural networks and analysis of main components |
author |
Matos, Vanessa Gomes |
author_facet |
Matos, Vanessa Gomes Vianna, Regina Ferreira Leite, Diego de Jesus |
author_role |
author |
author2 |
Vianna, Regina Ferreira Leite, Diego de Jesus |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Matos, Vanessa Gomes Vianna, Regina Ferreira Leite, Diego de Jesus |
dc.subject.por.fl_str_mv |
Perfumes Fragancias Redes neuronales artificiales Indicadores de rendimento PCA. Perfumes Fragrances Artificial neural networks Performance indicators PCA. Perfumes Fragrâncias Redes neurais artificiais Indicadores de desempenho PCA. |
topic |
Perfumes Fragancias Redes neuronales artificiales Indicadores de rendimento PCA. Perfumes Fragrances Artificial neural networks Performance indicators PCA. Perfumes Fragrâncias Redes neurais artificiais Indicadores de desempenho PCA. |
description |
The fragrance and flavoring industry (F&F) generates millions of dollars worldwide and is responsible for the olfactory characteristics of personal hygiene products, perfumes, cosmetics, house holding and any and all products that contain an artificially produced aroma. The research and development of new fragrances are concentrated among the 5 largest fragrance houses in the world and for that reason there is a great concern to maintain the secrecy between the creative processes of these companies. This fierce competition market limits the capacity for innovation in the creation of new products to what is usually successful in the market and the acceptance statistics of those who have been proposed among competitors. These companies are increasingly restricted to innovating within a previously launched universe, producing flankers - versions of products already established in the market. Thus, this article aims to graphically analyze data from a virtual perfumery library, modeled using a multi-layered neural network and resilient backpropagation neural network, validated through principal component analysis. Graphical analysis provides an interpretation of the correlations between levels of consumer acceptance for a perfume and the performance indicators for that fragrance. This study reiterates the existence of correlations between the user's consumption profile and the properties of the fragrances, supporting future studies of exclusive formulation of individually customized compositions for groups or individuals, demonstrating potential use in perfume engineering. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/3192 10.33448/rsd-v9i6.3192 |
url |
https://rsdjournal.org/index.php/rsd/article/view/3192 |
identifier_str_mv |
10.33448/rsd-v9i6.3192 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/3192/3922 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Vanessa Gomes Matos, Regina Ferreira Vianna, Diego de Jesus Leite info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Vanessa Gomes Matos, Regina Ferreira Vianna, Diego de Jesus Leite |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 6; e194963192 Research, Society and Development; Vol. 9 Núm. 6; e194963192 Research, Society and Development; v. 9 n. 6; e194963192 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052647461617664 |