Dynamic Data Assimilation Beating the Uncertainties

By:

Harkut, Dinesh G [edt]

Contributor(s):

Harkut, Dinesh G [oth]

Material type: Article

ArticleLanguage: English Publication details: IntechOpen 2020Description: 1 electronic resource (118 p.)ISBN:

intechopen.87789
9781839680847
9781839680830
9781839680854

Subject(s):

Online resources:

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.

List(s) this item appears in: Faculty Informational Technology

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Notes	Date due	Barcode
Electronic edition	Bucheon University Library	Computers	DOAB	004,8 D98	Not for loan	Смотреть (pdf)		1010997

Open Access star Unrestricted online access

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.

Creative Commons https://creativecommons.org/licenses/by/3.0/ cc

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