Examples of InputFieldArray2D

org.encog.util.normalize.input.InputFieldArray2D
An input field that comes from a 2D array. The first dimension of the array will be used to read each successive row. The second dimension is fixed, and specified in the constructor. You would create multiple InputFieldArray2D object to read each of the "columns" stored at each row. Note: this input field will not be persisted to an EG file. This is because it could point to a lengthy array, that really has no meaning inside of an EG file.

Examples of org.encog.util.normalize.input.InputFieldArray2D

    NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
    
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
    norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
    norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
    norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
    return norm;
  }

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Examples of org.encog.util.normalize.input.InputFieldArray2D

    NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
    MultiplicativeGroup group = new MultiplicativeGroup();
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,SAMPLE1,0));
    norm.addInputField(b = new InputFieldArray2D(false,SAMPLE1,1));
    norm.addInputField(c = new InputFieldArray2D(false,SAMPLE1,2));
    norm.addOutputField(new OutputFieldMultiplicative(group,a));
    norm.addOutputField(new OutputFieldMultiplicative(group,b));
    norm.addOutputField(new OutputFieldMultiplicative(group,c));
    return norm;
  }

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Examples of org.encog.util.normalize.input.InputFieldArray2D

    OutputFieldEncode b1;
    
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
    norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
    norm.addOutputField(a1 = new OutputFieldEncode(a));
    norm.addOutputField(b1 = new OutputFieldEncode(b));
    a1.addRange(1.0, 2.0, 0.1);
    b1.addRange(0, 100, 0.2);

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Examples of org.encog.util.normalize.input.InputFieldArray2D

      NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
      
      DataNormalization norm = new DataNormalization();
      norm.setReport(new NullStatusReportable());
      norm.setTarget(target);
      norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
      norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
      norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
      norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
      norm.addSegregator(new IntegerBalanceSegregator(a,2));
      return norm;
    }

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Examples of org.encog.util.normalize.input.InputFieldArray2D

      NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
      
      DataNormalization norm = new DataNormalization();
      norm.setReport(new NullStatusReportable());
      norm.setTarget(target);
      norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
      norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
      norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
      norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
      norm.addSegregator(s = new RangeSegregator(a,false));
      s.addRange(2, 2, true);
      return norm;

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Examples of org.encog.util.normalize.input.InputFieldArray2D

      NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
      
      DataNormalization norm = new DataNormalization();
      norm.setReport(new NullStatusReportable());
      norm.setTarget(target);
      norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
      norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
      norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
      norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
      norm.addSegregator(new IndexSampleSegregator(0,3,2));
      return norm;
    }

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Examples of org.encog.util.normalize.input.InputFieldArray2D

      NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
      
      DataNormalization norm = new DataNormalization();
      norm.setReport(new NullStatusReportable());
      norm.setTarget(target);
      norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
      norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
      norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
      norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
      norm.addSegregator(new IndexRangeSegregator(0,3));
      return norm;
    }

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Examples of org.encog.util.normalize.input.InputFieldArray2D

    InputField e;
    
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(new NormalizationStorageCSV(FILENAME));
    norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
    norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
    norm.addInputField(c = new InputFieldArray2D(false,ARRAY_2D,2));
    norm.addInputField(d = new InputFieldArray2D(false,ARRAY_2D,3));
    norm.addInputField(e = new InputFieldArray2D(false,ARRAY_2D,4));
    norm.addOutputField(new OutputFieldDirect(a));
    norm.addOutputField(new OutputFieldDirect(b));
    norm.addOutputField(new OutputFieldDirect(c));
    norm.addOutputField(new OutputFieldDirect(d));
    norm.addOutputField(new OutputFieldDirect(e));

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Examples of org.encog.util.normalize.input.InputFieldArray2D

    NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
    ZAxisGroup group = new ZAxisGroup();
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,SAMPLE1,0));
    norm.addInputField(b = new InputFieldArray2D(false,SAMPLE1,1));
    norm.addInputField(c = new InputFieldArray2D(false,SAMPLE1,2));
    norm.addOutputField(new OutputFieldZAxis(group,a));
    norm.addOutputField(new OutputFieldZAxis(group,b));
    norm.addOutputField(new OutputFieldZAxis(group,c));
    norm.addOutputField(new OutputFieldZAxisSynthetic(group));
    return norm;

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