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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主要作者: | Diéguez Santana, Karel (author) |
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其他作者: | 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) |
格式: | article |
出版: |
2024
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主题: | |
在线阅读: | https://doi.org/10.24867/IJIEM-2024-1-347 http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/780 |
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