| public final Resume ( TrainingContinuation state ) : void | ||
| state | TrainingContinuation | The training state to return to. |
| return | void | |
public void TestRPROPCont()
{
IMLDataSet trainingSet = XOR.CreateXORDataSet();
BasicNetwork net1 = XOR.CreateUnTrainedXOR();
BasicNetwork net2 = XOR.CreateUnTrainedXOR();
ResilientPropagation rprop1 = new ResilientPropagation(net1, trainingSet);
ResilientPropagation rprop2 = new ResilientPropagation(net2, trainingSet);
rprop1.Iteration();
rprop1.Iteration();
rprop2.Iteration();
rprop2.Iteration();
TrainingContinuation cont = rprop2.Pause();
ResilientPropagation rprop3 = new ResilientPropagation(net2, trainingSet);
rprop3.Resume(cont);
rprop1.Iteration();
rprop3.Iteration();
for (int i = 0; i < net1.Flat.Weights.Length; i++)
{
Assert.AreEqual(net1.Flat.Weights[i], net2.Flat.Weights[i], 0.0001);
}
}
public void TestRPROPContPersistEG()
{
IMLDataSet trainingSet = XOR.CreateXORDataSet();
BasicNetwork net1 = XOR.CreateUnTrainedXOR();
BasicNetwork net2 = XOR.CreateUnTrainedXOR();
ResilientPropagation rprop1 = new ResilientPropagation(net1, trainingSet);
ResilientPropagation rprop2 = new ResilientPropagation(net2, trainingSet);
rprop1.Iteration();
rprop1.Iteration();
rprop2.Iteration();
rprop2.Iteration();
TrainingContinuation cont = rprop2.Pause();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, cont);
TrainingContinuation cont2 = (TrainingContinuation)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
ResilientPropagation rprop3 = new ResilientPropagation(net2, trainingSet);
rprop3.Resume(cont2);
rprop1.Iteration();
rprop3.Iteration();
for (int i = 0; i < net1.Flat.Weights.Length; i++)
{
Assert.AreEqual(net1.Flat.Weights[i], net2.Flat.Weights[i], 0.0001);
}
}