Dynamic Data Assimilation: Beating the Uncertainties

Dynamic Data Assimilation: Beating the Uncertainties 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. Wydawnictwo: IntechOpen Rok wydania: 2020 Okładka: twarda Liczba stron: 118 Wymiary: 26 x 18 cm Język: angielski ISBN: 9781839680830