public void TestDoesSaveJordan()
{
INetwork nn = new RecursiveNetwork(RecursiveNetwork.Type.Jordan,
new UnipolarSigmoidActivation(), true, 1, 4, 1);
TestSaveInternal(nn);
}
public void SerializeJordanorksBothWays()
{
RecursiveNetwork nn = new RecursiveNetwork(RecursiveNetwork.Type.Jordan, new UnipolarSigmoidActivation(), true, 2, 10, 3);
IFormatter formatter = new BinaryFormatter();
Stream stream = new MemoryStream();
formatter.Serialize(stream, nn);
stream.Seek(0, SeekOrigin.Begin);
object result = formatter.Deserialize(stream);
Assert.IsTrue(result is RecursiveNetwork);
RecursiveNetwork resNet = (RecursiveNetwork)result;
Assert.AreEqual(RecursiveNetwork.Type.Jordan, resNet.NetworkType);
}
private INetwork CreateNetwork(LearningSettings learningSettings, List <int> layersVal)
{
INetwork network = null;
switch (eid.NetworkType)
{
case NetworkType.MLP:
network = new NeuralNetwork(learningSettings.Activation, eid.UseBiases, layersVal.ToArray());
break;
case NetworkType.Jordan:
network = new RecursiveNetwork(RecursiveNetwork.Type.Jordan,
learningSettings.Activation, eid.UseBiases, layersVal[0], layersVal[1], layersVal[2]);
break;
case NetworkType.Elman:
network = new RecursiveNetwork(RecursiveNetwork.Type.Elman,
learningSettings.Activation, eid.UseBiases, layersVal[0], layersVal[1], layersVal[2]);
break;
}
return(network);
}
