Examples of org.encog.neural.data.basic.BasicNeuralData

org.encog.neural.data.basic.BasicNeuralData
This is an alias class for Encog 2.5 compatibility. This class aliases BasicMLData. Newer code should use BasicMLData in place of this class.

                    + output.getData(5) + ", " + "\n");
        }
    }


    public double [] query(double [] data) {
        BasicNeuralData neuralData = new BasicNeuralData(data);
        final NeuralData output = network.compute(neuralData);
        return output.getData();
    }

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    for(int i=0;i<training.idealCount;i++)
    {
      idealData[i] = Double.parseDouble(args[index++].toString());
    }
    
    training.data.add(new BasicNeuralDataPair(new BasicNeuralData(inputData),new BasicNeuralData(idealData)));
    
  }

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   *            How much of the data is input.
   */
  public void write(final double[] data, final int inputCount) {


    if (this.idealCount == 0) {
      final BasicNeuralData inputData = new BasicNeuralData(data);
      this.dataset.add(inputData);
    } else {
      final BasicNeuralData inputData = new BasicNeuralData(
          this.inputCount);
      final BasicNeuralData idealData = new BasicNeuralData(
          this.idealCount);


      int index = 0;
      for (int i = 0; i < this.inputCount; i++) {
        inputData.setData(i, data[index++]);
      }


      for (int i = 0; i < this.idealCount; i++) {
        idealData.setData(i, data[index++]);
      }


      this.dataset.add(inputData, idealData);
    }

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   * @param index
   *            The index to generate neural data for.
   * @return The input neural data generated.
   */
  public BasicNeuralData generateInputNeuralData(final int index) {
    final BasicNeuralData result = new BasicNeuralData(
        this.inputNeuronCount);
    int resultIndex = 0;


    for (int i = 0; i < this.inputWindowSize; i++) {
      int descriptionIndex = 0;


      for (final TemporalDataDescription desc : this.descriptions) {
        if (desc.isInput()) {
          result.setData(resultIndex++, formatData(desc, index + i));
        }
        descriptionIndex++;
      }
    }
    return result;

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          + "beyond the end of provided data.";


      throw new TemporalError(str);
    }


    final BasicNeuralData result = new BasicNeuralData(
        this.outputNeuronCount);
    int resultIndex = 0;


    for (int i = 0; i < this.predictWindowSize; i++) {
      int descriptionIndex = 0;


      for (final TemporalDataDescription desc : this.descriptions) {
        if (desc.isPredict()) {
          result.setData(resultIndex++, formatData(desc, index + i));
        }
        descriptionIndex++;
      }


    }

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Related Classes of org.encog.neural.data.basic.BasicNeuralData

mechanics.NeuralNetwork

org.encog.ml.data.temporal.TemporalMLDataSet

org.encog.script.javascript.objects.JSTrainingData

org.encog.util.normalize.target.NormalizationStorageNeuralDataSet

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