How to create an output layer consisting of a single output neuron using patternnet?

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Hi!
I have a 2-class classification problem, for which I want to use an output vector that consists of only two values, 1 and 0. When I use patternnet for creating the network and then train it using train function, all the patterns are classified to only one class, giving me only 50% accuracy (I have equal patterns from both classes). Is there any solution? Thanks.
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Andrew Stirn
Andrew Stirn el 27 de Mzo. de 2015
To be clear this issue only exists for me with 2015a.
Greg Heath
Greg Heath el 28 de Mzo. de 2015
Editada: Greg Heath el 28 de Mzo. de 2015
Write MATHWORKS directly via mathworks.com.

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