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Forecasting stock prices with long-short term memory neural network based on attention mechanism
The stock market is known for its extreme complexity and volatility, and people are always looking for an accurate and effective way to guide stock trading. Long short-term memory (LSTM) neural networks are developed by recurrent neural networks (RNN) and have significant application value in many f...
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| Publicado en: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6941898/ https://ncbi.nlm.nih.gov/pubmed/31899770 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227222 |
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