Lupascu, Codrin (2023) Novel Reservoir Computing architectures and learning algorithms. PhD thesis, University of Sheffield.
Metadata
Supervisors: | Coca, Daniel and Damian, Dana |
---|---|
Keywords: | reservoir computing, artificial intelligence, control, echo state networks, supervised training algorithms |
Awarding institution: | University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Mr. Codrin Lupascu |
Date Deposited: | 17 Mar 2023 14:17 |
Last Modified: | 17 Mar 2024 01:05 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:32476 |
Download
Final eThesis - complete (pdf)
Filename: Lupascu,Codrin,180123588.pdf
Licence:
This work is licensed under a Creative Commons Attribution NonCommercial NoDerivatives 4.0 International License
Export
Statistics
You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.