C# (CSharp) Encog.Neural.Networks.Training.Propagation.Resilient ResilientPropagation.Pause 예제들

Pause() 공개 최종 메소드

Pause the training.

public final Pause ( ) : TrainingContinuation
리턴	TrainingContinuation

예제 #1

파일: TestPersistTrainingContinuation.cs 프로젝트: johannsutherland/encog-dotnet-core

        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);
            }
        }

예제 #2

파일: TestPersistTrainingContinuation.cs 프로젝트: johannsutherland/encog-dotnet-core

        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);
            }
        }