This project is to verify the approximation capabilities of measure preserving neural network. The code is based on learner (learner: https://github.com/jpzxshi/learner).
Requirements
python
pytorch
numpy
matploblib
main.py
: training measure preserving training networks;
LF_data.py
: generate data;
LF_output
: plot the trajectories of true and learned systems;
plot
: plot the illustration of expected error.