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Dynamic Data Assimilation
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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.
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Keywords
- applied mathematics
- Mathematics
- Mathematics & science
Links
DOI: 10.5772/intechopen.87789Editions