List of iteration() Examples

Examples of iteration()

com.heatonresearch.aifh.aco.DiscreteACO.iteration()
Perform one iteration.
com.heatonresearch.aifh.evolutionary.train.EvolutionaryAlgorithm.iteration()
Perform a training iteration. Also called generations or epochs.
com.heatonresearch.aifh.evolutionary.train.basic.BasicEA.iteration()
{@inheritDoc}
com.heatonresearch.aifh.kmeans.KMeans.iteration()
Perform one iteration of assignment and update steps. @return True, if we are done, no new assignments.
com.heatonresearch.aifh.learning.TrainPSO.iteration()
{@inheritDoc}
com.heatonresearch.aifh.regression.TrainLeastSquares.iteration()
Train. Single iteration.
com.heatonresearch.aifh.regression.TrainReweightLeastSquares.iteration()
Perform one iteration of training.
org.encog.ml.bayesian.training.TrainBayesian.iteration()
{@inheritDoc}
org.encog.ml.ea.train.EvolutionaryAlgorithm.iteration()
Perform a training iteration. Also called generations or epochs.
org.encog.ml.fitting.gaussian.TrainGaussian.iteration()
org.encog.ml.fitting.linear.TrainLinearRegression.iteration()
org.encog.ml.genetic.BasicGeneticAlgorithm.iteration()
Modify the weight matrix and bias values based on the last call to calcError. @throws NeuralNetworkException
org.encog.ml.genetic.GeneticAlgorithm.iteration()
Perform one training iteration.
org.encog.ml.hmm.train.bw.TrainBaumWelch.iteration()
org.encog.ml.hmm.train.kmeans.TrainKMeans.iteration()
org.encog.ml.kmeans.KMeansClustering.iteration()
Perform a single training iteration.
org.encog.ml.svm.training.SVMTrain.iteration()
Perform either a train or a cross validation. If the folds property is greater than 1 then cross validation will be done. Cross validation does not produce a usable model, but it does set the error. If you are cross validating try C and Gamma values until you have a good error rate. Then use those values to train, producing the final model.
org.encog.ml.train.MLTrain.iteration()
Perform one iteration of training.
org.encog.neural.cpn.training.TrainInstar.iteration()
{@inheritDoc}
org.encog.neural.cpn.training.TrainOutstar.iteration()
{@inheritDoc}
org.encog.neural.flat.train.prop.TrainFlatNetworkBackPropagation.iteration()
org.encog.neural.flat.train.prop.TrainFlatNetworkResilient.iteration()
org.encog.neural.neat.training.NEATTraining.iteration()
Perform one training iteration.
org.encog.neural.networks.training.Train.iteration()
org.encog.neural.networks.training.cross.CrossValidationKFold.iteration()
Perform one iteration.
org.encog.neural.networks.training.pnn.TrainBasicPNN.iteration()
{@inheritDoc}
org.encog.neural.networks.training.propagation.Propagation.iteration()
Perform one training iteration.
org.encog.neural.networks.training.propagation.back.Backpropagation.iteration()
org.encog.neural.networks.training.propagation.resilient.ResilientPropagation.iteration()
org.encog.neural.networks.training.simple.TrainAdaline.iteration()
{@inheritDoc}
org.encog.neural.rbf.training.SVDTraining.iteration()
Perform one iteration.
org.encog.neural.som.training.basic.BasicTrainSOM.iteration()
Perform one training iteration.
org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining.iteration()
{@inheritDoc}

Examples of org.encog.neural.networks.training.simple.TrainAdaline.iteration()

    MLDataSet training = generateTraining();
    MLTrain train = new TrainAdaline(network,training,0.01);
    
    int epoch = 1;
    do {
      train.iteration();
      System.out
          .println("Epoch #" + epoch + " Error:" + train.getError());
      epoch++;
    } while(train.getError() > 0.01);

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Examples of org.encog.neural.rbf.training.SVDTraining.iteration()

  {
    MLDataSet trainingSet = XOR.createXORDataSet();
    RBFNetwork network = new RBFNetwork(2,4,1, RBFEnum.Gaussian);


    SVDTraining training = new SVDTraining(network,trainingSet);
    training.iteration();
    XOR.verifyXOR(network, 0.1);
    
    EncogDirectoryPersistence.saveObject(EG_FILENAME, network);
    RBFNetwork network2 = (RBFNetwork)EncogDirectoryPersistence.loadObject(EG_FILENAME);

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Examples of org.encog.neural.rbf.training.SVDTraining.iteration()


        //SVD is a single step solve
        int epoch = 1;
        do
        {
            train.iteration();
            System.out.println("Epoch #" + epoch + " Error:" + train.getError());
            epoch++;
        } while ((epoch < 1) && (train.getError() > 0.001));


        // test the neural network

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Examples of org.encog.neural.som.training.basic.BasicTrainSOM.iteration()

        
    int iteration = 0;
    
    for(iteration = 0;iteration<=10;iteration++)
    {
      train.iteration();
      System.out.println("Iteration: " + iteration + ", Error:" + train.getError());
    }
    
    MLData data1 = new BasicMLData(SOM_INPUT[0]);
    MLData data2 = new BasicMLData(SOM_INPUT[1]);

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Examples of org.encog.neural.som.training.clustercopy.SOMClusterCopyTraining.iteration()


      SOMClusterCopyTraining train = new SOMClusterCopyTraining(this.net,trainingSet);
            
      int tries = 1;
      while (!this.halt) {
        train.iteration();
        update(tries++, train.getError());
      }


      markStopped();
      this.halt = false;

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