wolffd@0: wolffd@0:
wolffd@0:wolffd@0: y = glmfwd(net, x) wolffd@0: [y, a] = glmfwd(net, x) wolffd@0:wolffd@0: wolffd@0: wolffd@0:
y = glmfwd(net, x)
takes a generalized linear model
wolffd@0: data structure net
together with
wolffd@0: a matrix x
of input vectors, and forward propagates the inputs
wolffd@0: through the network to generate a matrix y
of output
wolffd@0: vectors. Each row of x
corresponds to one input vector and each
wolffd@0: row of y
corresponds to one output vector.
wolffd@0:
wolffd@0: [y, a] = glmfwd(net, x)
also returns a matrix a
wolffd@0: giving the summed inputs to each output unit, where each row
wolffd@0: corresponds to one pattern.
wolffd@0:
wolffd@0:
glm
, glmpak
, glmunpak
, glmerr
, glmgrad
Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: