Daniel@0: Daniel@0:
Daniel@0:Daniel@0: e = rbferr(net, x, t) Daniel@0: [e, edata, eprior] = rbferr(net, x, t) Daniel@0:Daniel@0: Daniel@0: Daniel@0:
e = rbferr(net, x, t)
takes a network data structure net
together
Daniel@0: with a matrix x
of input
Daniel@0: vectors and a matrix t
of target vectors, and evaluates the
Daniel@0: appropriate error function e
depending on net.outfn
.
Daniel@0: Each row of x
corresponds to one
Daniel@0: input vector and each row of t
contains the corresponding target vector.
Daniel@0:
Daniel@0: [e, edata, eprior] = rbferr(net, x, t)
additionally returns the
Daniel@0: data and prior components of the error, assuming a zero mean Gaussian
Daniel@0: prior on the weights with inverse variance parameters alpha
and
Daniel@0: beta
taken from the network data structure net
.
Daniel@0:
Daniel@0:
rbf
, rbffwd
, rbfgrad
, rbfpak
, rbftrain
, rbfunpak
Copyright (c) Ian T Nabney (1996-9) Daniel@0: Daniel@0: Daniel@0: Daniel@0: