Dynamic Data Assimilation: Beating the Uncertainties -
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Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
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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Kuvaus
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.
Lisätietoja
| Julkaisija | IntechOpen |
|---|---|
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9781839680830 |