xFODE uses incremental states and fuzzy additive models trained with partitioning strategies to deliver accurate yet interpretable nonlinear dynamic models that match NODE and FODE performance on benchmarks.
Neural additive models: Interpretable machine learning with neural nets,
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xFODE: An Explainable Fuzzy Additive ODE Framework for System Identification
xFODE uses incremental states and fuzzy additive models trained with partitioning strategies to deliver accurate yet interpretable nonlinear dynamic models that match NODE and FODE performance on benchmarks.