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Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF

Certain difficulties in path forecasting and filtering problems are based in the initial hypothesis of estimation and filtering techniques. Common hypotheses include that the system can be modeled as linear, Markovian, Gaussian, or all at one time. Although, in many cases, there are strategies to ta...

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Detalles Bibliográficos
Autores principales: Llerena Caña, Juan Pedro, García Herrero, Jesús, Molina López, José Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961344/
https://www.ncbi.nlm.nih.gov/pubmed/33807681
http://dx.doi.org/10.3390/s21051805

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