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.ml.train.MLTrain.iteration()

    final MLTrain train = new ResilientPropagation(network, training);


    int epoch = 1;


    do {
      train.iteration();
      System.out
          .println("Epoch #" + epoch + " Error:" + train.getError());
      epoch++;
    } while(train.getError() > MAX_ERROR);
  }

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Examples of org.encog.ml.train.MLTrain.iteration()


    // train the neural network
    final MLTrain train = new ResilientPropagation(network, trainingSet);


    do {
      train.iteration();
    } while (train.getError() > 0.009);


    double e = network.calculateError(trainingSet);
    System.out.println("Network traiined to error: " + e);

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Examples of org.encog.ml.train.MLTrain.iteration()

    train.addStrategy(new RequiredImprovementStrategy(5));
    
    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.ml.train.MLTrain.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.ml.train.MLTrain.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.ml.train.MLTrain.iteration()


    Stopwatch sw = new Stopwatch();
    sw.start();
    // run epoch of learning procedure
    for (int i = 0; i < ITERATIONS; i++) {
      train.iteration();
    }
    sw.stop();


    return sw.getElapsedMilliseconds();
  }

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Examples of org.encog.ml.train.MLTrain.iteration()

    final long stop = start + (10 * MILIS);


    int iterations = 0;
    while (System.currentTimeMillis() < stop) {
      iterations++;
      train.iteration();
    }


    return iterations;
  }

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Examples of org.encog.ml.train.MLTrain.iteration()

  {
    int epoch = 1;


    MLTrain train = new TrainInstar(network,training,0.1,true);
    do {
      train.iteration();
      System.out
          .println("Training instar, Epoch #" + epoch + ", Error: " + train.getError() );
      epoch++;
    } while(train.getError()>0.01);
  }

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Examples of org.encog.ml.train.MLTrain.iteration()

  {
    int epoch = 1;


    MLTrain train = new TrainOutstar(network,training,0.1);
    do {
      train.iteration();
      System.out
          .println("Training outstar, Epoch #" + epoch + ", error=" + train.getError() );
      epoch++;
    } while(train.getError()>0.01); 
  }

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Examples of org.encog.neural.cpn.training.TrainInstar.iteration()

  {
    int epoch = 1;


    MLTrain train = new TrainInstar(network,training,0.1,true);
    do {
      train.iteration();
      System.out
          .println("Training instar, Epoch #" + epoch + ", Error: " + train.getError() );
      epoch++;
    } while(train.getError()>0.01);
  }

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