wolffd@0: wolffd@0:
wolffd@0:wolffd@0: e = mdnerr(net, x, t) wolffd@0:wolffd@0: wolffd@0: wolffd@0:
e = mdnerr(net, x, t)
takes a mixture density network data
wolffd@0: structure net
, a matrix x
of input vectors and a matrix
wolffd@0: t
of target vectors, and evaluates the error function
wolffd@0: e
. The error function is the negative log likelihood of the
wolffd@0: target data under the conditional density given by the mixture model
wolffd@0: parameterised by the MLP. Each row of x
corresponds to one
wolffd@0: input vector and each row of t
corresponds to one target vector.
wolffd@0:
wolffd@0: mdn
, mdnfwd
, mdngrad
Copyright (c) Ian T Nabney (1996-9) wolffd@0:
David J Evans (1998) wolffd@0: wolffd@0: wolffd@0: