Echo state network and classical statistical techniques for time series forecasting: A review

FC Cardoso, RA Berri, EN Borges, BL Dalmazo… - Knowledge-Based …, 2024 - Elsevier
Forecasting is an extensive field of study, which tries to avoid injuries, diseases, and
damages but also can help in energy production, finance investments, etc. Two mathematics …

Nonlinear Temperature Control of Additive Friction Stir Deposition Evaluated on an Echo State Network

GR Merritt, CA Cousin, HS Yoon - Journal of …, 2024 - asmedigitalcollection.asme.org
Additive friction stir deposition is a recent innovation in additive manufacturing allowing the
deposition of metallic alloys onto a metallic deposit bed, creating a purely mechanical …

(Thesis) Reservoir Computing With Dynamical Systems

AG Hart - arXiv preprint arXiv:2111.14226, 2021 - arxiv.org
A reservoir computer is a special type of neural network, where most of the weights are
randomly fixed and only a subset are trained. In this thesis we prove results about reservoir …

[图书][B] Robust Lyapunov-Based Control Methods Using Neural Networks for Additive Friction Stir Deposition and Functional Electrical Stimulation Applications

GR Merritt - 2023 - search.proquest.com
Dealing with model uncertainty in system plants is a common problem, indeed to an extent
all real world systems have unmodeled dynamics. Model uncertainty can appear in a variety …

[PDF][PDF] Reservoir Computing with Dynamical Systems

AG Hart - 2022 - researchportal.bath.ac.uk
Alternative formats If you require this document in an alternative format, please contact:
openaccess@bath.ac.uk Page 1 University of Bath PHD Reservoir Computing with Dynamical …