/Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks

This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.

Primary LanguagePython

Machine Learning of Dynamical Systems Using Recurrent Neural Networks

This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.

  • The file "system_identification_machine_learning.py" is the main file. You should start from here.
  • The file "backward euler.py" defines a function for discretizing the continuous-time system using the backward Euler method. It is called from the file "system_identification_machine_learning.py". The complete description of this project is given on my webpage: https://aleksandarhaber.github.io/