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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...
Autores principales: | Llerena Caña, Juan Pedro, García Herrero, Jesús, Molina López, José Manuel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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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