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Automated data-driven modeling, the process of directly discovering the governing equations of a dynamical system from data, ... Machine learning is enabling the discovery of dynamical systems models and governing equations purely from measurement data ... This video discusses how to choose an effective library of candidate terms Speaker: Kadierdan Kaheman Event: Second Symposium on Machine Learning and Dynamical Systems ...
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Sparse Nonlinear Dynamics Models with SINDy, Part 4: The Library of Candidate Nonlinearities