2 papers
cs.LG2025
Deterministic Reservoir Computing for Chaotic Time Series Prediction
Johannes Viehweg, Constanze Poll, Patrick Mäder
Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. Their randomized initialization, a computational benefi…
physics.flu-dyn2022
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection
Sandeep Pandey, Philipp Teutsch, Patrick Mäder +1
A combined convolutional autoencoder-recurrent neural network machine learning model is presented to analyse and forecast the dynamics and low-order statistics of the local convect…