wolffd@0: wolffd@0:
wolffd@0:wolffd@0: net = rbfsetbf(net, options, x) wolffd@0:wolffd@0: 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: rbftrain
, rbfsetfw
, gmmem
Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: