Probabilistic solution of chaotic dynamical system inverse problems using Bayesian Artificial Neural Networks

26 May 2020 David K. E. Green Filip Rindler

This paper demonstrates the application of Bayesian Artificial Neural Networks to Ordinary Differential Equation (ODE) inverse problems. We consider the case of estimating an unknown chaotic dynamical system transition model from state observation data... (read more)

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