Proceedings of the National Academy of Sciences· 2016Q1
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- 4,604citations
- Q1SCImago
- 2016year
Short summary
A new algorithm uses sparsity-promoting techniques and machine learning to discover governing equations from noisy data, creating parsimonious models that balance accuracy and complexity.
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Sign in on the web to openField: Statistical and Nonlinear Physics
Statistical and Nonlinear PhysicsPhysics and Astronomy