Mercurial > forge
view main/nnet/inst/saveMLPStruct.m @ 11265:4d56b549b185 octave-forge
maint: update Michel D. Schmid e-mail
author | carandraug |
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date | Sat, 24 Nov 2012 22:16:49 +0000 |
parents | 73c74436563f |
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## Copyright (C) 2005 Michel D. Schmid <michael.schmid@plexso.com> ## ## 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 3 of the License, 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; if not, see <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {} saveMLPStruct (@var{net},@var{strFileName}) ## @code{saveStruct} saves a neural network structure to *.txt files ## @end deftypefn ## Author: Michel D. Schmid function saveMLPStruct(net,strFileName) ## the variable net holds the neural network structure.. # check if "net" is a structure type if !__checknetstruct(net) error("Structure doesn't seem to be a neural network") endif # open the first level file fid1 = fopen(strFileName,"w+t","ieee-le"); if (fid1 < 0) error ("Can not open %s", strFileName); endif ## print header # try ## wird nicht mehr ben�tigt.. __printMLPHeader(fid1); # catch # ## Add saveMLPStructure directory to the path and try again # addpath ([fileparts(mfilename()),"/saveMLPStructure"]); # __printMLPHeader(fid1); # end_try_catch ## check for field "networkType" __printNetworkType(fid1,net); ## check for field "numInputs" __printNumInputs(fid1,net); ## check for field "numLayers" __printNumLayers(fid1,net) ## check for field "biasConnect" __printBiasConnect(fid1,net) ## check for field "inputConnect" __printInputConnect(fid1,net) ## check for field "layerConnect" __printLayerConnect(fid1,net) ## check for field "outputConnect" __printOutputConnect(fid1,net) ## check for field "targetConnect" __printTargetConnect(fid1,net) ## print one empty line fprintf(fid1,"\n"); ## check for numOutputs __printNumOutputs(fid1,net); ## check for numTargets __printNumTargets(fid1,net); ## check for numInputDelays __printNumInputDelays(fid1,net); ## check for numLayerDelays __printNumLayerDelays(fid1,net); ## print one empty line fprintf(fid1,"\n"); ## print subobject structures: fprintf(fid1," subobject structures:\n"); ## print one empty line fprintf(fid1,"\n"); ## print inputs __printInputs(fid1,net); ## print layers __printLayers(fid1,net); ## print outputs __printOutputs(fid1,net); ## print targets __printTargets(fid1,net); ## print biases __printBiases(fid1,net); ## print inputweights __printInputWeights(fid1,net); ## print layerweights __printLayerWeights(fid1,net); ## print one empty line fprintf(fid1,"\n"); ## print subobject structures: fprintf(fid1," functions:\n"); ## print one empty line fprintf(fid1,"\n"); ## print adaptFcn __printAdaptFcn(fid1,net); ## print initFcn __printInitFcn(fid1,net); ## print performFcn __printPerformFcn(fid1,net); ## print performFcn __printTrainFcn(fid1,net); ## print one empty line fprintf(fid1,"\n"); ## print subobject structures: fprintf(fid1," parameters:\n"); ## print one empty line fprintf(fid1,"\n"); ## print adaptParam __printAdaptParam(fid1,net); ## print initParam __printInitParam(fid1,net); ## print performParam __printPerformParam(fid1,net); ## print trainParam __printTrainParam(fid1,net); ## print one empty line fprintf(fid1,"\n"); ## print subobject structures: fprintf(fid1," weight & bias values:\n"); ## print one empty line fprintf(fid1,"\n"); ## print IW __printIW(fid1,net); ## print LW __printLW(fid1,net); ## print b __printB(fid1,net); ## print one empty line fprintf(fid1,"\n"); ## print subobject structures: fprintf(fid1," other:\n"); fclose(fid1); endfunction