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Modeling and optimization of reactive cotton dyeing using response surface methodology combined with artificial neural network and particle swarm techniques

Crossref DOI link: https://doi.org/10.1007/s10098-021-02142-8

Published Online: 2021-06-23

Published Print: 2021-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Rosa, Jorge Marcos

Guerhardt, Flavio

Ribeiro Júnior, Silvestre Eduardo Rocha

Belan, Peterson A.

Lima, Gustavo A.

Santana, José Carlos Curvelo

Berssaneti, Fernando Tobal

Tambourgi, Elias Basile

Vanale, Rosangela Maria

Araújo, Sidnei Alves de https://orcid.org/0000-0003-3970-5801
Funding

Funding for this research was provided by:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (313765/2019-7, 305987/2018-6)
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Text and Data Mining valid from 2021-06-23

Version of Record valid from 2021-06-23
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Article History

Received: 3 October 2020

Accepted: 13 June 2021

First Online: 23 June 2021

Declarations

:

: No potential competing interest was reported by the authors.

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