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Application of machine learning to predict the yield of alginate lyase solid-state fermentation by Cunninghamella echinulata: artificial neural networks and support vector machine

Crossref DOI link: https://doi.org/10.1007/s11144-022-02293-9

Published Online: 2022-09-12

Published Print: 2022-12

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

Authors

De Farias Silva, Carlos Eduardo https://orcid.org/0000-0002-1462-1145
Costa, Giselly Yanara Silva Canuto Mendes

Ferro, João Victor

de Oliveira Carvalho, Frede https://orcid.org/0000-0002-4293-1976
da Gama, Brígida Maria Villar https://orcid.org/0000-0003-2719-2746
Meili, Lucas https://orcid.org/0000-0002-0307-8204
dos Santos Silva, Margarete Cabral

Almeida, Renata Maria Rosas Garcia

Tonholo, Josealdo https://orcid.org/0000-0002-4015-9564
Funding

Funding for this research was provided by:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (313195/2019-6, 440070/2019-8, 407274/2018-9)
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Text and Data Mining valid from 2022-09-12

Version of Record valid from 2022-09-12
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Article History

Received: 24 June 2022

Accepted: 2 September 2022

First Online: 12 September 2022

Declarations

:

: The authors declare that they have no conflict of interest to disclose.

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