Dynamic Data Assimilation : : Beating the Uncertainties / / edited by Dinesh G. Harkut.
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...
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| Place / Publishing House: | London : : IntechOpen,, 2020. |
| Year of Publication: | 2020 |
| Language: | English |
| Physical Description: | 1 online resource (118 pages) :; illustrations |
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| Other title: | Dynamic data assimilation |
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| Summary: | 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. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 1839680849 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | edited by Dinesh G. Harkut. |