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Investigating the Synthesis of RBF Networks
作者姓名:V.  David  Sanchez  A.
作者单位:German Aerospace Research Establishment,DLR OberpfaffenhofenInstitute for Robottes and System DynamicsD-82230 Wessling,Germany
摘    要:InvestigatingtheSynthesisofRBFNetworks¥V.DavidSanchezA.(GermanAerospaceResearchEstablishment,DLROberpfaffenhofenInstituteforR...


Investigating the Synthesis of RBF Networks
V. David Sanchez A..Investigating the Synthesis of RBF Networks[J].Journal of Systems Engineering and Electronics,1996(3).
Authors:V David Sanchez A
Abstract:The approximation capability of RBF networks is investigated using a test function and a fixed finite number of training data. The test function used allows to confirm the recently introducedconcept of second derivative dependent placement of RBF centers. Different Gaussian RBF networksare trained varying the width and the number of centers (number of hidden units). The dependenceof the approximation error on these network parameters is studied experimentally.
Keywords:Approximation error  Function approximation  Neural network synthesis  Number of hidden units  Radial basis functions  
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