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

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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Bibliographic Details
Main Authors: Tea Sokač Cvetnić, Korina Krog, Davor Valinger, Jasenka Gajdoš Kljusurić, Maja Benković, Tamara Jurina, Tamara Jakovljević, Ivana Radojčić Redovniković, Ana Jurinjak Tušek
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Bioengineering
Subjects:
grape skin
in-vessel composting
multiple linear regression
piecewise linear regression
artificial neural network modelling
Online Access:https://www.mdpi.com/2306-5354/11/3/285

Internet

https://www.mdpi.com/2306-5354/11/3/285

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