Dynamic Data Assimilation Beating the Uncertainties
Harkut, Dinesh G.
Dynamic Data Assimilation Beating the Uncertainties - IntechOpen 2020 - 1 electronic resource (118 p.)
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.
Creative Commons
English
intechopen.87789 9781839680847 9781839680830 9781839680854
10.5772/intechopen.87789 doi
Искусственный интеллект
Applied mathematics Artificial intelligence Assimilation methods
004,8
Dynamic Data Assimilation Beating the Uncertainties - IntechOpen 2020 - 1 electronic resource (118 p.)
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.
Creative Commons
English
intechopen.87789 9781839680847 9781839680830 9781839680854
10.5772/intechopen.87789 doi
Искусственный интеллект
Applied mathematics Artificial intelligence Assimilation methods
004,8