Hybrid Forecasting of Chaotic Processes: Using Machine Learning in
Conjunction with a Knowledge-Based Model

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

9 March 2018

Alexander Wikner

Rebeckah K. Fussell

Sarthak Chandra

Brian Hunt

Papers citing "Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model"

5 / 5 papers shown

Title
How more data can hurt: Instability and regularization in next-generation reservoir computing Yuanzhao Zhang Edmilson Roque dos Santos Sean P. Cornelius 112 2 0 28 Jan 2025
Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing Andrew Shannon Conor Houghton David Barton Martin Homer 45 0 0 07 Nov 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 45 4 0 29 Jul 2024
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time Yusuke Sakemi K. Morino T. Leleu Kazuyuki Aihara 46 20 0 11 Jun 2020
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation P. Antonik M. Haelterman Serge Massar 41 42 0 06 Feb 2018