Patternnet for multi-dimensional classification

Hello,   I'm trying to develop a neural network for classification of 2 non mutually exclusive outputs, based on 1 input.   Using the standard parameters for the patternnet, I had in the 2 outputs numbers between 0 and 1, summing up to 1. It looked like it was working as they were mutually exclusive, even thought I had in my training matrix cases with both outputs in state 1.   I changed the output transfer function to logsig and removed the default { -1, 1} mapminmax output transformation (after reading this in another topic), but with this I had a very poor training performance...