public void AddLayer()
{
EncogLayerSettings inputLayerSettings = new EncogLayerSettings();
inputLayerSettings.activationFunction = null;
inputLayerSettings.hasBias = true;
inputLayerSettings.neuronCount = 100;
EncogLayerSettings hiddenLayerOneSettings = new EncogLayerSettings();
hiddenLayerOneSettings.activationFunction = new ActivationElliott();
hiddenLayerOneSettings.hasBias = true;
hiddenLayerOneSettings.neuronCount = 100;
EncogLayerSettings outputLayerSettings = new EncogLayerSettings();
outputLayerSettings.activationFunction = new ActivationElliott();
outputLayerSettings.hasBias = false;
outputLayerSettings.neuronCount = 1;
EncogWrapper.AddLayer(ref container, ref inputLayerSettings);
EncogWrapper.AddLayer(ref container, ref hiddenLayerOneSettings);
EncogWrapper.AddLayer(ref container, ref outputLayerSettings);
EncogWrapper.FinalizeNetwork(ref container);
var Layers = container.network.Structure.Flat.LayerCounts;
Assert.IsTrue(Layers.Length == 3);
}
public void InstantiationTest()
{
container = new NetworkContainer();
EncogWrapper.Instantiate(ref container);
Assert.IsNotNull(container.network);
}
public void SaveAndRestoreModelFS()
{
NetworkContainer container2 = new NetworkContainer();
EncogWrapper.SaveNetworkToFS(ref container, "./unittest.bin");
EncogWrapper.LoadNetworkFromFS(ref container2, "./unittest.bin");
var Layers = container.network.Structure.Flat.LayerCounts;
var Layers2 = container2.network.Structure.Flat.LayerCounts;
Assert.AreEqual(Layers, Layers2);
}
