Bayesian Inference for Training of Long Short Term Memory Models in Chaotic Time Series Forecasting

"For time series forecasting, obtaining models is based on the use of past observations from the same sequence. In those cases, when the model is learning from data, there is not an extra information that discuss about the quantity of noise inside the data available. In practice, it is necessar...

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Detalles Bibliográficos
Autores Principales: Rivero C.R., Pucheta J., Patiño D., Puglisi J.L., Otaño P., Franco L., Juarez G., Gorrostieta E., Orjuela-Cañón A.D.
Formato: Objeto de conferencia (Conference Object)
Lenguaje:Inglés (English)
Publicado: Springer 2019
Acceso en línea: