Rückert U, Eickhoff R. Controlling complexity of RBF networks by similarity. In: ESANN. 2007: 181-186.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
