Cargando…
Accelerated Gaussian Convolution in a Data Assimilation Scenario
Machine Learning algorithms try to provide an adequate forecast for predicting and understanding a multitude of phenomena. However, due to the chaotic nature of real systems, it is very difficult to predict data: a small perturbation from initial state can generate serious errors. Data Assimilation...
Autores principales: | De Luca, Pasquale, Galletti, Ardelio, Giunta, Giulio, Marcellino, Livia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304741/ http://dx.doi.org/10.1007/978-3-030-50433-5_16 |
Ejemplares similares
-
A Maximum Likelihood Ensemble Filter via a Modified Cholesky Decomposition for Non-Gaussian Data Assimilation
por: Nino-Ruiz, Elias David, et al.
Publicado: (2020) -
Data assimilation
por: Guzzi, Rodolfo
Publicado: (2015) -
Data Assimilation
por: Evensen, Geir
Publicado: (2009) -
Nonlinear data assimilation
por: Van Leeuwen, Peter Jan, et al.
Publicado: (2015) -
Gaussian Accelerated Molecular Dynamics in NAMD
por: Pang, Yui Tik, et al.
Publicado: (2016)