wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual rbfsetbf wolffd@0: wolffd@0: wolffd@0: wolffd@0:

rbfsetbf wolffd@0:

wolffd@0:

wolffd@0: Purpose wolffd@0:

wolffd@0: Set basis functions of RBF from data. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0:
wolffd@0: net = rbfsetbf(net, options, x)
wolffd@0: 
wolffd@0: wolffd@0: wolffd@0:

wolffd@0: Description wolffd@0:

wolffd@0: net = rbfsetbf(net, options, x) sets the basis functions of the wolffd@0: RBF network net so that they model the unconditional density of the wolffd@0: dataset x. This is done by training a GMM with spherical covariances wolffd@0: using gmmem. The options vector is passed to gmmem. wolffd@0: The widths of the functions are set by a call to rbfsetfw. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: rbftrain, rbfsetfw, gmmem
wolffd@0: Pages: wolffd@0: Index wolffd@0:
wolffd@0:

Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: