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dc.contributor.advisorHokland, Jørnnb_NO
dc.contributor.authorSponheim, Katrinanb_NO
dc.date.accessioned2014-12-19T13:31:00Z
dc.date.available2014-12-19T13:31:00Z
dc.date.created2010-09-02nb_NO
dc.date.issued2007nb_NO
dc.identifier346830nb_NO
dc.identifierntnudaim:3593nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/250191
dc.description.abstractIt is assumed that learning in the brain happens by adjusting synaptic efficacies between neurons. How the synapses are altered are no yet certain. Hokland argues that the present dominant hypothesis for synaptic altering are unrealistic models for learning in the human brain. In Connectology - Research Programme for Brain-Psychology Hokland describes a neural network theory where he presents three mechanisms for synaptic learning, based on the work of A. Harry Klopf. The mechanisms in this thesis are called Skinner, Pavlov and Hume. These three learning mechanisms will be implemented in an artificial neural network. As input to the artificial neural network I will use an input image of letters. The task at hand will be to find out if the learning mechanisms in this specific network will be able to discriminate between the letters.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectIntelligente systemerno_NO
dc.titleExperiments with Skinner, Pavlov and Hume Synapses: Learning to Discriminate Lettersnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber90nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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