--- /dev/null
+## Copyright (C) 2007 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{a} = logsig (@var{n})
+## @code{logsig} is a non-linear transfer function used to train
+## neural networks.
+## This function can be used in newff(...) to create a new feed forward
+## multi-layer neural network.
+##
+## @end deftypefn
+
+## @seealso{purelin,tansig}
+
+## Author: Michel D. Schmid
+
+
+function a = logsig(n)
+
+
+ a = 1 ./ (1 + exp(-n));
+ ## attention with critical values ==> infinite values
+ ## must be set to 1! Still the same problem as in "tansig"
+ i = find(!finite(a));
+ a(i) = sign(n(i));
+
+endfunction
\ No newline at end of file