Dynamic Data Assimilation

Beating the Uncertainties

By: Dinesh G. Harkut (Editor)

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Hardcover | 28 October 2020

At a Glance

Hardcover
118 Pages

Dimensions(cm)
26.0 x 18.0 x 0.79

Hardcover

$320.75

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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.

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