Dynamic Data Assimilation
Beating the Uncertainties

Contributor(s)
Harkut, Dinesh G. (editor)
Language
EnglishAbstract
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.
Keywords
Applied mathematicsWebshop link
https://www.intechopen.com/booksISBN
9781839680847, 9781839680830, 9781839680854Publisher
IntechOpenPublisher website
https://www.intechopen.com/Publication date and place
2020Imprint
IntechOpenClassification
Applied mathematics