public ModifiedFuzzyARTMap(int inputSize, int numberOfClasses,
double choicingParam, double basedVigilance, double maximumEntropy,
double maximumTotalEntropy, double vigilanceAdjustRate, double weightAdjustRate)
{
mm = new ModifiedMapField(numberOfClasses);
esa = new EntropyStatsAlgorithms(mm);
tf = new DataTransformChain();
tf.AppendDataTransform(new OneOfNDataTransform(numberOfClasses));
tf.AppendDataTransform(new ComplementDataTransform(1.0));
rtf = new DataTransformChain();
rtf.AppendDataTransform(new UnComplementDataTransform());
rtf.AppendDataTransform(new ReverseOneOfNDataTransform(numberOfClasses));
this.inputSize = inputSize;
this.targetSize = numberOfClasses * 2;
this.numberOfClasses = numberOfClasses;
this.choicingParam = choicingParam;
this.basedVigilance = basedVigilance;
this.MaximumEntropy = maximumEntropy;
this.maximumTotalEntropy = maximumTotalEntropy;
this.vigilanceAdjustRate = vigilanceAdjustRate;
this.weightAdjustRate = weightAdjustRate;
vigilances = new double[0];
categoryTargetClasses = new int[0];
categories = new double[0][];
// Create unprediction output
NONPREDICT_OUTPUT = new double[targetSize];
}
public ModifiedFuzzyARTMap(int inputSize, int numberOfClasses,
double choicingParam, double basedVigilance, double maximumEntropy,
double maximumTotalEntropy, double vigilanceAdjustRate, double weightAdjustRate)
{
mm = new ModifiedMapField(numberOfClasses);
esa = new EntropyStatsAlgorithms(mm);
tf = new DataTransformChain();
tf.AppendDataTransform(new OneOfNDataTransform(numberOfClasses));
tf.AppendDataTransform(new ComplementDataTransform(1.0));
rtf = new DataTransformChain();
rtf.AppendDataTransform(new UnComplementDataTransform());
rtf.AppendDataTransform(new ReverseOneOfNDataTransform(numberOfClasses));
this.inputSize = inputSize;
this.targetSize = numberOfClasses*2;
this.numberOfClasses = numberOfClasses;
this.choicingParam = choicingParam;
this.basedVigilance = basedVigilance;
this.MaximumEntropy = maximumEntropy;
this.maximumTotalEntropy = maximumTotalEntropy;
this.vigilanceAdjustRate = vigilanceAdjustRate;
this.weightAdjustRate = weightAdjustRate;
vigilances = new double[0];
categoryTargetClasses = new int[0];
categories = new double[0][];
// Create unprediction output
NONPREDICT_OUTPUT = new double[targetSize];
}