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Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data
Forecasting stock prices plays an important role in setting a trading strategy or determining the appropriate timing for buying or selling a stock. We propose a model, called the feature fusion long short-term memory-convolutional neural network (LSTM-CNN) model, that combines features learned from...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377125/ https://www.ncbi.nlm.nih.gov/pubmed/30768647 http://dx.doi.org/10.1371/journal.pone.0212320 |