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20182026
most citedHybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

310 citations · 419 across the 8 of their papers we have counts for

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Showing 2021Show all

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cs.LG2021★ 38 cited

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components

Alexander Wikner, Jaideep Pathak, Brian R. Hunt +3

We consider the problem of data-assisted forecasting of chaotic dynamical systems when the available data is in the form of noisy partial measurements of the past and present state…