Recurrent Neural Network for Learning and Reproducing Movements

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