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