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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| 100 | 1 | |a Harkut, Dinesh G. |4 edt | |
| 245 | 0 | 0 | |a Dynamic Data Assimilation : |b Beating the Uncertainties / |c edited by Dinesh G. Harkut. |
| 246 | |a Dynamic data assimilation | ||
| 260 | |b IntechOpen |c 2020 | ||
| 264 | 1 | |a London : |b IntechOpen, |c 2020. | |
| 300 | |a 1 online resource (118 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | |a Description based on: online resource; title from PDF information screen (IntechOpen, viewed October 21, 2022). | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a 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. | ||
| 546 | |a English | ||
| 650 | 0 | |a Mathematical models. | |
| 650 | 0 | |a Simulation methods. | |
| 653 | |a Applied mathematics | ||
| 776 | |z 1-83968-083-0 | ||
| 700 | 1 | |a Harkut, Dinesh G., |e editor. | |
| 906 | |a BOOK | ||
| ADM | |b 2023-02-22 20:26:50 Europe/Vienna |f system |c marc21 |a 2020-11-21 22:10:21 Europe/Vienna |g false | ||
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