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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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 | ||
337 | |a computer |b c |2 rdamedia | ||
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 | ||
540 | |a Creative Commons Attribution 3.0 Unported |f CC BY 3.0 |u https://creativecommons.org/licenses/by/3.0/legalcode | ||
506 | |f Unrestricted online access | ||
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., |d 1988- |e editor. | |
906 | |a BOOK | ||
ADM | |b 2023-08-31 03:04:39 Europe/Vienna |f system |c marc21 |a 2020-11-21 22:10:21 Europe/Vienna |g false | ||
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