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