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Dynamic Data Assimilation: Beating the Uncertainties
Dinesh G. Harkut
Dynamic Data Assimilation: Beating the Uncertainties
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 intelligence, neural networks, machine learning, and cognitive computing.
118 pages
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | October 28, 2020 |
ISBN13 | 9781839680830 |
Publishers | IntechOpen |
Pages | 118 |
Dimensions | 180 × 260 × 8 mm · 394 g |
Language | English |
Editor | Harkut, Dinesh G. |