A special class of recurrent neural networks, Input Compensation (IC) networks, is applied to model two exemplary dynamical systems, the Van-der-Pol Oscillator and the Figure-Eight pattern. IC-learning results in compact networks that provide insights into the underlying properties of the modelled system.
['André Frank Krause', 'Volker Dürr', 'Thomas Schack', 'Holk Cruse']
Input compensation learning: Modelling dynamical systems