Wrong output from network function, exported from nprtool

Hi @Thomas,

In MATLAB, neural networks often output continuous values in the range of [0, 1], especially when dealing with binary classification problems. This means that your network is likely returning probabilities, which need to be converted into boolean values (0 or 1) for your specific application. You can apply a simple threshold to convert the output from double to boolean. A common approach is to use 0.5 as the cutoff:

   function [y1] = myNeuralNetworkFunction(x1)
       % Get output from neural network
       output = neuralNetworkModel(x1); % Assuming neuralNetworkModel is your 
        trained model

       % Convert to boolean based on threshold
       y1 = output >= 0.5; % This will return true (1) for values >= 0.5 and 
       false (0) 
       otherwise
   end

If you prefer, you can explicitly convert the output to a logical type:

   y1 = logical(output >= 0.5);

For more information on logical function, please refer to

https://www.mathworks.com/help/matlab/ref/logical.html?s_tid=doc_ta

Make sure that your neural network is appropriately configured for binary classification. If you're using a sigmoid activation function in the final layer, this should naturally yield outputs between 0 and 1.

Hope this helps.