Package org.encog.util.normalize.input

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

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    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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    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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    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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      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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      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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      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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      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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    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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    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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Related Classes of org.encog.util.normalize.input.InputFieldArray2D

  • org.encog.util.normalize.TestMapped
  • org.encog.util.normalize.TestMultiplicative
  • org.encog.util.normalize.TestNormArray
  • org.encog.util.normalize.TestNormCSV
  • org.encog.util.normalize.TestSegregate
  • org.encog.util.normalize.TestZAxis
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