Changing the format of output of data from a neural network
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Hi there,
I'm using the code below to loop through files in a folder and classifying data with a neural network.
files = dir(fullfile(pwd,'*.txt'));
for k = 1 : numel(files)
%%%%reading the txt file
fid01 = fopen(fullfile(pwd,files(k).name));
idx = 0; tmparray = [];
tline = fgetl(fid01);
while ischar(tline)
idx = idx + 1;
tmparray(idx,:) = str2num(tline);
tline = fgetl(fid01);
end
fclose(fid01);
%%%%simulate net
output = sim(net, tmparray);
%%%%save the output
filename = strcat(regexprep(files(k).name,'.txt',''),'-output.txt');
fid02 = fopen(filename,'w');
fprintf(fid02,'%.2f\n',output');
fclose(fid02);
end
However the output is in the form of a 1x1 array, for example 1x1 array. For example
output =
[
0
0
0
0
1
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
]
Would it be possible to convert it into a sparse matrix like this
output = full(output)
0 0 0 0
1 1 1 0
0 0 0 1
0 0 0 0
0 0 0 0
0 0 0 0
0 0 0 0
and then convert it to vectors , for example
Output = vec2ind(output)
2 2 2 3
I'm trying to get the output in integer format.
I would really appreciate any help
Thank you
John
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Réponses (1)
Greg Heath
le 25 Jan 2012
For a net with I-H-O node topology, an input matrix of N I-dimensional input column vectors has size(input) = [ I N ] . The command output = sim(net,input) will yield an output matrix of N O-dimensional output column vectors with size(output) = [ O N ]. If output is binary, with at least one "1" in each column, vec2ind(output) will yield a row vector containing the row numbers of each unit element. and full(ind2vec(result)) will recover the original matrix.
rand('state',4151941)
output = round(rand(3,4))
result = vec2ind(output)
output = [ 1 0 0 0; 1 1 1 0; 0 0 1 1]
result = [ 1 2 2 2 3 3 ]
full(ind2vec(result)) = [ 1 0 0 0; 1 1 1 0; 0 0 1 1]
Hope this helps.
Greg
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