Predicción de series de tiempo con redes neuronales
El objetivo de este trabajo es la investigación sobre la competencia del Deep Learning para la predicción de series de tiempo. En este proyecto se profundiza en el uso de Redes Neuronales Recurrentes para predecir índices bursátiles. Se han implementado tres tipos distintos de redes neuronales con la capacidad de memoria a largo plazo: SimpleRNN, LSTM ...
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Representation of mental illness and disorders in Iberoamerica digital media. [PDF]
Romero-Rodríguez LM +4 more
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Treatment intervals with first-generation anti-vascular endothelial growth factor drugs: evaluating the unmet need in a real-world neovascular age-related macular degeneration national database. [PDF]
Zarranz-Ventura J +8 more
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[Effect of occlusal splinting on pain and joint space in patients with temporomandibular disorders. a case series study]. [PDF]
Pares-Ballasco JG +5 more
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Dengue incidence and its relationship with El Niño oceanic index, as a sensitive variable to anticipate outbreaks in the Colombian Caribbean region [PDF]
Salazar-Ceballos A, Álvarez-Miño L.
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[Surgical Procedures in Gastroesophageal Reflux Disease]. [PDF]
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Effectiveness of Risdiplam Treatment in Adult Patients With Spinal Muscular Atrophy Type IIb-III. [PDF]
García Estévez DA.
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[Determinants in the quality of life of breast cancer survivors]. [PDF]
López-Salas M +5 more
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[Adverse effects of metal exposure in pectus excavatum surgery]. [PDF]
Moreno-Alfonso JC +3 more
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[Prognostic Factors and Survival in Patients Undergoing Surgery for Pancreatic Ductal Adenocarcinoma: a MultiCenter Retrospective Analysis]. [PDF]
Gamboa Miño S +6 more
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