Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks

Authors:
Adam Krzyzak
Affiliations:
-
Venue:
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Year:
2001

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Abstract

We derive optimal radial kernel in the radial basis function network applied in nonlinear function learning and classification.