xFODE+ is an interpretable type-2 fuzzy additive ODE model for system identification that produces prediction intervals with point predictions and retains physically meaningful states.
Neural ordinary differential equations for robust parameter estimation in dynamic systems with physical priors,
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xFODE+: Explainable Type-2 Fuzzy Additive ODEs for Uncertainty Quantification
xFODE+ is an interpretable type-2 fuzzy additive ODE model for system identification that produces prediction intervals with point predictions and retains physically meaningful states.