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Dynamic Data Assimilation : Beating the Uncertainties
Overview
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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Details
- ISBN-13: 9781839680830
- ISBN-10: 1839680830
- Publisher: Intechopen
- Publish Date: October 2020
- Dimensions: 9.61 x 6.69 x 0.31 inches
- Shipping Weight: 0.87 pounds
- Page Count: 120
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