I have an Artificial Networks which needs to recognize 130 different types of moves encoded in terms of 1s and 0s. Therefore the number of outputs I used is 8 so that all my patterns could be distinguished. However, by using 8 outputs, the different types of patterns possible is 256, leaving me with 126 different types of patterns useless. Do these extra 126 different patterns ruin my ANN's ability? Is there a better way not to have these unused holes?