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Matlab bindings for the Fast Artificial Neural Network Library
Hi.
Thanks for a great binding!
I have built FANN 2.2.0, and generated the four mex functions.
Now I am struggling to get a sensible output when using createFann, trainFann and testFann. Please see the matlab commands and outputs below. Should not actualValues equal suggestedValues? Do you have any idea what I am doing wrong?
samples = [...
-1 -1
-1 1
1 -1
1 1];
actualValues = [...
-1
1
1
-1];
numVariables = size(samples,2);
numResults = size(actualValues,2);
connectivity = 1;
max_epochs = 500000;
desired_error = .0000001;
layers = [numVariables 3 5 numResults];
% makeFann;
ann = createFann(layers,connectivity);
ann = trainFann(ann,samples,actualValues,desired_error,max_epochs)
ann =
layers: [2 3 5 1]
weights: [35x1 double]
from: [35x1 double]
to: [35x1 double]
connectivity: 1
suggestedValues = testFann(ann,samples);
[actualValues suggestedValues]
ans =
-1.0000 0.0000
1.0000 0.0000
1.0000 0.0000
-1.0000 0.0000
suggestedValues =
1.0e-314 *
0.5106
0.5106
0.5114
0.5114
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