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