Deep learning algorithm for data-driven simulation of noisy dynamical system

Kyongmin Yeo, Igor Melnyk

We present a deep learning model, DE-LSTM, for the simulation of a stochastic process with an underlying nonlinear dynamics. The deep learning model aims to approximate the probabi…