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Dynamic Data Assimilation : Beating the Uncertainties

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Format:
Book
Author/Creator:
Harkut, Dinesh G.
Language:
English
Subjects (All):
Data integration (Computer science).
Kalman filtering.
Place of Publication:
IntechOpen 2020
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.
Notes:
Part of the metadata in this record was created by AI.
ISBN:
9780511889981
0511889984

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