Examples of Train

TrackRider.Train
Train is the only truly player controllable object. It is almost identical to Coach. See TrackRider @author Jari Saaranen @author simokr
com.xvitcoder.angualrspringapp.beans.Train
Created with IntelliJ IDEA. User: xvitcoder Date: 12/21/12 Time: 12:19 AM
inheritance.Train
mods.railcraft.common.carts.Train
ailcraft.info>
net.sf.mrailsim.trains.Train
nl.topicus.onderwijs.dashboard.datatypes.train.Train
org.encog.neural.networks.training.Train
This is an alias class for Encog 2.5 compatibility. This class aliases MLTrain. Newer code should use MLTrain in place of this class.

Examples of nl.topicus.onderwijs.dashboard.datatypes.train.Train

      List<Train> newTrains = new ArrayList<Train>();
      List<Element> tableRows = source.getAllElements(HTMLElementName.TR);
      for (Element tableRow : tableRows) {
        if (tableRow.getParentElement().getName().equals(
            HTMLElementName.TBODY)) {
          Train train = new Train();
          int index = 0;
          for (Element curCell : tableRow.getChildElements()) {
            String contents = curCell.getTextExtractor().toString();
            switch (index) {
            case TIME:

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Examples of nl.topicus.onderwijs.dashboard.datatypes.train.Train


      private List<Train> createRandomTrains() {
        Random random = new Random();
        List<Train> ret = new ArrayList<Train>();
        for (int count = 0; count < 10; count++) {
          Train train = new Train();
          train.setType(TrainType.values()[random.nextInt(TrainType
              .values().length)]);
          train.setDestination("random random random centraal");
          int minute = random.nextInt(60);
          train.setDepartureTime(random.nextInt(24) + ":"
              + (minute < 10 ? "0" : "") + minute);
          train.setDelay(random.nextInt(10));
          train.setPlatform(Integer.toString(random.nextInt(10)));
          ret.add(train);
        }
        Collections.sort(ret, new Comparator<Train>() {
          @Override
          public int compare(Train o1, Train o2) {

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Examples of org.encog.neural.networks.training.Train

            System.out.print(e + "Problem opening file");
        }
    }


    private int trainNeuralNetwork() {
        final Train train = new ResilientPropagation(network, trainingData);


        int epoch = 1;
        do {
            train.iteration();
            //System.out.println("Epoch #" + epoch + " Error: " + train.getError());
            epoch++;
            if (epoch > 500) {
                return 1;
            }
        } while (train.getError() > 0.01);
        return 0;
    }

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