Dynamic Data Assimilation : Beating the Uncertainties
Material type: TextPublication details: IntechOpen 2020Description: 1 electronic resource (118 p.)ISBN:- 9781839680847
Item type | Current library | Call number | Status | Date due | Barcode | |
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E-Book | Directory of Open Access Books | Not For Loan |
Open 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.
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