Application of Multivariate Regression and Artificial Neural Network Modelling for Prediction of Physicochemical Properties of Grape-Skin Compost

The reusability of by-products in the food industry is consistent with sustainable and greener production; therefore, the aim of this paper was to evaluate the applicability of multiple linear regression (MLR), piecewise linear regression (PLR) and artificial neural network models (ANN) to the predi...

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Detalhes bibliográficos

Principais autores:	Tea Sokač Cvetnić, Korina Krog, Davor Valinger, Jasenka Gajdoš Kljusurić, Maja Benković, Tamara Jurina, Tamara Jakovljević, Ivana Radojčić Redovniković, Ana Jurinjak Tušek
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-03-01
coleção:	Bioengineering
Assuntos:	grape skin in-vessel composting multiple linear regression piecewise linear regression artificial neural network modelling
Acesso em linha:	https://www.mdpi.com/2306-5354/11/3/285
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