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2007

Controlling complexity of RBF networks by similarity

8 years 11 months ago
Controlling complexity of RBF networks by similarity
Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring technique is proposed which can control the model complexity and is based on the correlation coefficient between two basis functions. Simulation results show good performance and, therefore, this technique can be integrated in the RBF training procedure.
Ulrich Rückert, Ralf Eickhoff
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ESANN
Authors Ulrich Rückert, Ralf Eickhoff
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