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Prediction of CO2 emissions in China by generalized regression neural network optimized with fruit fly optimization algorithm
As global warming becomes more prominent, the need to reduce carbon emissions to achieve China's carbon peak target is increasing. It is imperative to seek effective methods to predict carbon emissions and propose targeted emission reduction measures. In this paper, a comprehensive model integr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257487/ https://www.ncbi.nlm.nih.gov/pubmed/37301812 http://dx.doi.org/10.1007/s11356-023-27888-0 |