Pruning of RBF Networks in Robot Manipulator Learning Control
Radial Basis Function Neural Networks are well suited for learning the systemdynamics of a robot manipulator and implementation of these networks in thecontrol scheme for a manipulator is a good way to deal with the system uncertaintiesand modeling errors which often occur. The problem with RBF netw...
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Format: | Others |
Language: | English |
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Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk
2012
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18591 |