Predicting chaotic behaviour is challenging due to the sensitivity to initial conditions, noise, the environment, and unknown factors. Here, the authors apply quasi-recurrent neural networks to predict both periodic and chaotic dynamics of the triangulated cylindrical origami cells, and provide an analysis of the hidden units’ distinctive responses.
- Hiromi Yasuda
- Koshiro Yamaguchi
- Jinkyu Yang