public void TestPruneNeuronOutput()
{
BasicNetwork network = ObtainNetwork();
Assert.AreEqual(4, network.OutputCount);
PruneSelective prune = new PruneSelective(network);
prune.Prune(2, 1);
Assert.AreEqual(21, network.EncodedArrayLength());
Assert.AreEqual(3, network.GetLayerNeuronCount(2));
Assert.AreEqual("1,2,3,4,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25", network.DumpWeights());
BasicNetwork model = EncogUtility.SimpleFeedForward(2, 3, 0, 3, false);
CheckWithModel(model.Structure.Flat, network.Structure.Flat);
Assert.AreEqual(3, network.OutputCount);
}