dc.contributor.advisor | Öztürk, Pinar | nb_NO |
dc.contributor.author | Løvlid, Rikke Amilde | nb_NO |
dc.date.accessioned | 2014-12-19T13:57:29Z | |
dc.date.available | 2014-12-19T13:57:29Z | |
dc.date.created | 2010-09-02 | nb_NO |
dc.date.issued | 2007 | nb_NO |
dc.identifier | 346945 | nb_NO |
dc.identifier | ntnudaim:3777 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/258219 | |
dc.description.abstract | In this thesis I study how movements can be learned and stored by a recurrent neural network. Also I investigate how a movement can be associated with an external context, and wether this can be used to produce movements in new orders, depending on changes in this external context. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | SIF3 fysikk og matematikk | no_NO |
dc.subject | Industriell matematikk | no_NO |
dc.title | Recurrent Neural Network for Learning and Reproducing Movements | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 62 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for matematiske fag | nb_NO |