X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fnnet-0.1.13%2F__setx.m;fp=octave_packages%2Fnnet-0.1.13%2F__setx.m;h=3ba85aebd967db8e948825ab457cd0755c6a37ca;hp=0000000000000000000000000000000000000000;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hpb=1705066eceaaea976f010f669ce8e972f3734b05

diff --git a/octave_packages/nnet-0.1.13/__setx.m b/octave_packages/nnet-0.1.13/__setx.m
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+## Copyright (C) 2005 Michel D. Schmid  <michaelschmid@users.sourceforge.net>
+##
+##
+## This program is free software; you can redistribute it and/or modify it
+## under the terms of the GNU General Public License as published by
+## the Free Software Foundation; either version 2, or (at your option)
+## any later version.
+##
+## This program is distributed in the hope that it will be useful, but
+## WITHOUT ANY WARRANTY; without even the implied warranty of
+## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+## General Public License for more details.
+##
+## You should have received a copy of the GNU General Public License
+## along with this program; see the file COPYING.  If not, see
+## <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {} @var{net} = __setx (@var{net},@var{X2})
+## @code{__setx} sets the new weights to the neural network structure
+## @end deftypefn
+
+## @seealso{getx}
+
+## Author: Michel D. Schmid
+
+function net = __setx(net,xx)
+
+  ## check number of inputs
+  error(nargchk(2,2,nargin));
+
+  ## check input args
+  ## check "net", must be a net structure
+  if !__checknetstruct(net)
+    error("Structure doesn't seem to be a neural network")
+  endif
+
+  ## inputs
+  [nRows, nColumns] = size(net.IW{1,1});
+  nElementsIW = nRows*nColumns;
+  net.IW{1,1}(:) = xx(1:nElementsIW);
+
+  [nRows, nColumns] = size(net.b{1,1});
+  nElementsB1 = nRows*nColumns;
+  net.b{1,1}(:) = xx(1+nElementsIW:nElementsIW+nElementsB1);
+  start = nElementsIW + nElementsB1;
+
+  ## layers
+  nLayers = net.numLayers;
+  for i = 2:nLayers
+    [nRows, nColumns] = size(net.LW{i,i-1});
+    nElementsLW = nRows*nColumns;
+    net.LW{i,i-1}(:) = xx(1+start:start+nElementsLW);
+
+    [nRows, nColumns] = size(net.b{i,1});
+    nElementsBx = nRows*nColumns;
+    net.b{i,1}(:) = xx(1+start+nElementsLW:start+nElementsLW+nElementsBx);
+    start = start + nElementsLW + nElementsBx;
+  endfor
+
+endfunction
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