Proper choice of hyperparameters in reservoir computing of chaotic maps

DOI10.1088/1751-8121/acfb54OpenAlexW4386854129MaRDI QIDQ6053765

Unnamed Author, Jinghua Xiao, Unnamed Author, Unnamed Author

Publication date: 23 October 2023

Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1751-8121/acfb54

zbMATH Keywords

chaotic maphyperparameterreserve computing

Mathematics Subject Classification ID

Dynamical systems and ergodic theory (37-XX) Computer science (68-XX)

Cites Work

• Reservoir computing approaches to recurrent neural network training
• An experimental unification of reservoir computing methods
• A recurrent neural network for modelling dynamical systems
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing