wolffd@0: wolffd@0:
wolffd@0:wolffd@0: mlphint(net) wolffd@0: [h1, h2] = mlphint(net)wolffd@0: wolffd@0: wolffd@0:
mlphint(net)
takes a network structure net
wolffd@0: and plots the Hinton diagram comprised of two
wolffd@0: figure windows, one displaying the first-layer weights and biases, and
wolffd@0: one displaying the second-layer weights and biases.
wolffd@0:
wolffd@0:
[h1, h2] = mlphint(net)
also returns handles h1
and
wolffd@0: h2
to the figures which can be used, for instance, to delete the
wolffd@0: figures when they are no longer needed.
wolffd@0:
wolffd@0:
To print the figure correctly, you should call
wolffd@0: set(h, 'InvertHardCopy', 'on')
before printing.
wolffd@0:
wolffd@0:
demhint
, hintmat
, mlp
, mlppak
, mlpunpak
Copyright (c) Ian T Nabney (1996-9) wolffd@0: wolffd@0: wolffd@0: wolffd@0: