?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=The+locally+linear+nested+network+for+robot+manipulation&rft.creator=Smagt%2C+P.+van+der&rft.creator=Groen%2C+F.&rft.creator=Groenewoud%2C+F.+van+het&rft.subject=Neural+Nets&rft.subject=Robotics&rft.description=We+present+a+method+for+accurate+representation+of+high-dimensional+unknown+functions+from+random+samples+drawn+from+its+input+space.+The+method+builds+representations+of+the+function+by+recursively+splitting+the+input+space+in+smaller+subspaces%2C+while+in+each+of+these+subspaces+a+linear+approximation+is+computed.+The+representations+of+the+function+at+all+levels+(i.e.%2C+depths+in+the+tree)+are+retained+during+the+learning+process%2C+such+that+a+good+generalisation+is+available+as+well+as+more+accurate+representations+in+some+subareas.+Therefore%2C+fast+and+accurate+learning+are+combined+in+this+method.+The+method%2C+which+is+applied+to+hand-eye+coordination+of+a+robot+arm%2C+is+shown+to+be+superior+to+other+neural+networks.&rft.publisher=IEEE&rft.date=1994&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F496%2F2%2FSmaGroGro94b.ps&rft.identifier=++Smagt%2C+P.+van+der+and+Groen%2C+F.+and+Groenewoud%2C+F.+van+het++(1994)+The+locally+linear+nested+network+for+robot+manipulation.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F496%2F