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...

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Hlavní autor:	Diéguez Santana, Karel (author)
Další autoři:	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)
Médium:	article
Vydáno:	2024
Témata:	Neural networks Circular economy Agri-food chains Circular economy level
On-line přístup:	https://doi.org/10.24867/IJIEM-2024-1-347 http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/780
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Application of neural networks in the prediction of the circular economy level in agri-food chains

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