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Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection
With the development of recent years, the field of deep learning has made great progress. Compared with the traditional machine learning algorithm, deep learning can better find the rules in the data and achieve better fitting effect. In this paper, we propose a hybrid stock forecasting model based...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815979/ https://www.ncbi.nlm.nih.gov/pubmed/35120138 http://dx.doi.org/10.1371/journal.pone.0262501 |