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Dynamic Data Assimilation Beating the Uncertainties

Material type: TextTextLanguage: English Publication details: IntechOpen 2020Description: 1 online resource (118 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781839680830
  • 9781839680847
  • 9781839680854
  • intechopen.87789
Subject(s): Online resources: Summary: 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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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 https://creativecommons.org/licenses/by/3.0/ cc

https://creativecommons.org/licenses/by/3.0/

English

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