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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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University of Novi Sad, Faculty of Technical Sciences
2024-03-01
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| Series: | International Journal of Industrial Engineering and Management |
| Subjects: | |
| Online Access: | http://www.ijiemjournal.uns.ac.rs/images/journal/volume15/IJIEM_347.pdf |
| _version_ | 1797266498617606144 |
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| author | E. G. Muñoz-Grillo Neyfe Sablón-Cossío Sebastiana del Monserrate Ruiz-Cedeño Ana Julia Acevedo-Urquiaga D. A. Verduga-Alcívar D. Marrero-González Karel Diéguez-Santana |
| author_facet | E. G. Muñoz-Grillo Neyfe Sablón-Cossío Sebastiana del Monserrate Ruiz-Cedeño Ana Julia Acevedo-Urquiaga D. A. Verduga-Alcívar D. Marrero-González Karel Diéguez-Santana |
| author_sort | E. G. Muñoz-Grillo |
| collection | DOAJ |
| description | 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 lies in the possibility of defining in advance circular strategies
based on the prediction of the level of circular economy. Historical data on the level of
circular economy are compared with those predicted by neural networks. As a result, it is
shown that if the weights of the circular economy level variables are not homogeneous, the
procedure has a lower correlation value which, however, remains significant. |
| first_indexed | 2024-04-25T01:01:39Z |
| format | Article |
| id | doaj.art-7377e8af976842b0b3ccf6d49502d779 |
| institution | Directory Open Access Journal |
| issn | 2217-2661 2683-345X |
| language | English |
| last_indexed | 2024-04-25T01:01:39Z |
| publishDate | 2024-03-01 |
| publisher | University of Novi Sad, Faculty of Technical Sciences |
| record_format | Article |
| series | International Journal of Industrial Engineering and Management |
| spelling | doaj.art-7377e8af976842b0b3ccf6d49502d7792024-03-10T22:50:41ZengUniversity of Novi Sad, Faculty of Technical SciencesInternational Journal of Industrial Engineering and Management2217-26612683-345X2024-03-011514558http://doi.org/10.24867/IJIEM-2024-1-347347Application of neural networks in the prediction of the circular economy level in agri-food chainsE. G. Muñoz-Grillo0Neyfe Sablón-Cossío1Sebastiana del Monserrate Ruiz-Cedeño2Ana Julia Acevedo-Urquiaga3D. A. Verduga-Alcívar4D. Marrero-González5Karel Diéguez-Santana6Universidad Técnica de Manabí, Faculty of Basic Sciences, Portoviejo, Ecuador; Doctoral students from the National University of Tumbes, PeruUniversidad Técnica de Manabí, Grupo de Producción y Servicios, Faculty of Postgraduate, Portoviejo, EcuadorUniversidad Técnica de Manabí, Faculty of Administrative and Economic Sciences, Portoviejo, Ecuador; Doctoral students from the National University of Tumbes, Peru;Fundación Universitaria San Mateo, Industrial Engineering Program, Bogotá, ColombiaUniversidad Técnica de Manabí, Faculty of Basic Sciences, Portoviejo, Ecuador; Doctoral students from the National University of Tumbes, PeruUniversidad Técnica de Manabí, Portoviejo, EcuadorUniversidad Regional Amazónica, IKIAM, EcuadorThe 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 lies in the possibility of defining in advance circular strategies based on the prediction of the level of circular economy. Historical data on the level of circular economy are compared with those predicted by neural networks. As a result, it is shown that if the weights of the circular economy level variables are not homogeneous, the procedure has a lower correlation value which, however, remains significant.http://www.ijiemjournal.uns.ac.rs/images/journal/volume15/IJIEM_347.pdfneural networkscircular economyagri-food chainscircular economy level |
| spellingShingle | E. G. Muñoz-Grillo Neyfe Sablón-Cossío Sebastiana del Monserrate Ruiz-Cedeño Ana Julia Acevedo-Urquiaga D. A. Verduga-Alcívar D. Marrero-González Karel Diéguez-Santana Application of neural networks in the prediction of the circular economy level in agri-food chains International Journal of Industrial Engineering and Management neural networks circular economy agri-food chains circular economy level |
| title | Application of neural networks in the prediction of the circular economy level in agri-food chains |
| title_full | Application of neural networks in the prediction of the circular economy level in agri-food chains |
| title_fullStr | Application of neural networks in the prediction of the circular economy level in agri-food chains |
| title_full_unstemmed | Application of neural networks in the prediction of the circular economy level in agri-food chains |
| title_short | Application of neural networks in the prediction of the circular economy level in agri-food chains |
| title_sort | application of neural networks in the prediction of the circular economy level in agri food chains |
| topic | neural networks circular economy agri-food chains circular economy level |
| url | http://www.ijiemjournal.uns.ac.rs/images/journal/volume15/IJIEM_347.pdf |
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