Dynamic Data Assimilation Beating the Uncertainties
Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial...
Tallennettuna:
| Muut tekijät: | |
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| Aineistotyyppi: | Elektroninen Kirjan osa |
| Kieli: | englanti |
| Julkaistu: |
IntechOpen
2020
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| Aiheet: | |
| Linkit: | DOAB: download the publication DOAB: description of the publication |
| Tagit: |
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| Yhteenveto: | Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing. |
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| Ulkoasu: | 1 electronic resource (118 p.) |
| ISBN: | intechopen.87789 9781839680847 9781839680830 9781839680854 |
| Pääsy: | Open Access |