/usr/share/octave/packages/nnet-0.1.13/__setx.m is in octave-nnet 0.1.13-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | ## 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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