Application of neural networks in the prediction of the circular economy level in agri-food chains

The objective of the work is to predict the level of circular economy in the agri-food chain through an empirical neural network approach. The research methodology includes the training of a neural network to predict the level of 128 circular economy in two agri-food chains. The novelty of this work...

• Auteur principal: Diéguez Santana, Karel (author)
• Autres auteurs: Muñoz, Grillo (author), E., G. (author), Sablón, Cossío (author), Ruiz-Cedeño, N. (author), S.d., M. (author), Acevedo, Urquiaga (author), A., J. (author), Verduga, Alcívar (author), D., A. (author), Marrero, González (author)
• Format: article
• Publié: 2024
• Sujets: Neural networks; Circular economy; Agri-food chains; Circular economy level
• Accès en ligne: https://doi.org/10.24867/IJIEM-2024-1-347; http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/780