Ejemplos de Encog.Neural.Prune PruneSelective.Prune en C# (CSharp)

Prune() public method

Prune one of the neurons from this layer. Remove all entries in this weight matrix and other layers. This method cannot be used to remove a bias neuron.

public Prune ( int targetLayer, int neuron ) : void
targetLayer	int	The neuron to prune. Zero specifies the first neuron.
neuron	int	The neuron to prune.
return	void

Ejemplo n.º 1

Archivo: TestPruneSelective.cs Proyecto: MerlinBrasil/encog-dotnet-core

        public void TestPruneNeuronHidden()
        {
            BasicNetwork   network = ObtainNetwork();
            PruneSelective prune   = new PruneSelective(network);

            prune.Prune(1, 1);
            Assert.AreEqual(18, network.EncodedArrayLength());
            Assert.AreEqual(2, network.GetLayerNeuronCount(1));
            Assert.AreEqual("1,3,4,5,7,8,9,11,12,13,15,16,17,18,19,23,24,25", network.DumpWeights());

            BasicNetwork model = EncogUtility.SimpleFeedForward(2, 2, 0, 4, false);

            CheckWithModel(model.Structure.Flat, network.Structure.Flat);
        }

Ejemplo n.º 2

Archivo: TestPruneSelective.cs Proyecto: MerlinBrasil/encog-dotnet-core

        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);
        }

Ejemplo n.º 3

Archivo: TestPruneSelective.cs Proyecto: CreativelyMe/encog-dotnet-core

        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);
        }

Ejemplo n.º 4

Archivo: TestPruneSelective.cs Proyecto: CreativelyMe/encog-dotnet-core

        public void TestPruneNeuronHidden()
        {
            BasicNetwork network = ObtainNetwork();
            PruneSelective prune = new PruneSelective(network);
            prune.Prune(1, 1);
            Assert.AreEqual(18, network.EncodedArrayLength());
            Assert.AreEqual(2, network.GetLayerNeuronCount(1));
            Assert.AreEqual("1,3,4,5,7,8,9,11,12,13,15,16,17,18,19,23,24,25", network.DumpWeights());

            BasicNetwork model = EncogUtility.SimpleFeedForward(2, 2, 0, 4, false);
            CheckWithModel(model.Structure.Flat, network.Structure.Flat);
        }