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Application of empirical mode decomposition to improve deep learning for US GDP data forecasting
The application of deep learning methods to construct deep neural networks for the prediction of future econometric trends and econometric data has come to receive a lot of research attention. However, it has been found that the long short-term memory (LSTM) model is unstable and overly complex. It...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819532/ https://www.ncbi.nlm.nih.gov/pubmed/35146147 http://dx.doi.org/10.1016/j.heliyon.2022.e08748 |