Evolving Echo State Networks for Minimally Cognitive Unsupervised Learning Tasks
This thesis investigates the use of Echo State Networks (ESNs) in unsupervised learning environments, byemploying Evolutionary Algorithms (EAs) to evolve ESNs to control an agent that performs a novel, minimally-cognitive learning task. The task employed in this thesis is a modified version of the c...
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| Format: | Others |
| Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap
2013
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22966 |