1 code implementation • 11 May 2020 • Yunjin Tong, Shiying Xiong, Xingzhe He, Guanghan Pan, Bo Zhu
We propose an effective and lightweight learning algorithm, Symplectic Taylor Neural Networks (Taylor-nets), to conduct continuous, long-term predictions of a complex Hamiltonian dynamic system based on sparse, short-term observations.
