Export a neural network trained with MATLAB in other programming languages

Question

I trained a neural network using the MATLAB Neural Network Toolbox, and in particular using the command nprtool, which provides a simple GUI to use the toolbox

Answer 1

Thanks to VitoShadow and robott answers, I can export Matlab neural network values to other applications.

I really appreciate them, but I found some trivial errors in their codes and want to correct them.

1) In the VitoShadow codes,

Results = tansig(net.LW{2} * y1 + net.b{2});
-> Results = net.LW{2} * y1 + net.b{2};

2) In the robott preprocessing codes, It would be easier extracting xmax and xmin from the net variable than calculating them.

xmax = net.inputs{1}.processSettings{1}.xmax
xmin = net.inputs{1}.processSettings{1}.xmin

3) In the robott postprocessing codes,

xmax = net.outputs{2}.processSettings{1}.xmax
xmin = net.outputs{2}.processSettings{1}.xmin

Results = (ymax-ymin)*(Results-xmin)/(xmax-xmin) + ymin;
-> Results = (Results-ymin)*(xmax-xmin)/(ymax-ymin) + xmin;

You can manually check and confirm the values as follows:

p2 = mapminmax('apply', net(:, 1), net.inputs{1}.processSettings{1})

-> preprocessed data

y1 = purelin ( net.LW{2} * tansig(net.iw{1}* p2 + net.b{1}) + net.b{2})

-> Neural Network processed data

y2 = mapminmax( 'reverse' , y1, net.outputs{2}.processSettings{1})

-> postprocessed data

Reference: http://www.mathworks.com/matlabcentral/answers/14517-processing-of-i-p-data