void Initialize()
{
performanceCounter = new ProcessPerformanceCounter();
// Create fuzzy art map network.
network = new SimplifiedFuzzyARTMap(Parameter.InputSize * 2,
Parameter.NoOfClasses * 2, Parameter.ArtABasedVigilance, Parameter.ChoicingParam, Parameter.ArtABeta);
network.FastCommitedSlowLearningOption = true;
// Analyze max-min of input columns
AnalyzeMaxMin();
// Initialize inputtransformers level 1
inputTransformers1 = new DataTransformChain[Parameter.InputSize];
InitializeInputDataTransform(inputTransformers1, Parameter.InputSize);
// inputtransformation level 2
inputTransformers2 = new DataTransformChain();
inputTransformers2.AppendDataTransform(new ComplementDataTransform(1.0));
// Target column
targetTransform = new DataTransformChain();
targetTransform.AppendDataTransform(new OneOfNDataTransform(Parameter.NoOfClasses));
targetTransform.AppendDataTransform(new ComplementDataTransform(1.0));
// Output transform
outputTransformers = new DataTransformChain();
outputTransformers.AppendDataTransform(new UnComplementDataTransform());
outputTransformers.AppendDataTransform(new ReverseOneOfNDataTransform(Parameter.NoOfClasses));
}
void Initialize()
{
performanceCounter = new ProcessPerformanceCounter();
if (param.Mode == ProcessModifiedHybridFuzzyARTMapMode.INTERNAL ||
param.Mode == ProcessModifiedHybridFuzzyARTMapMode.DUAL)
{
mfartmap = new ModifiedFuzzyARTMap(param.InputSize, param.NoOfClasses, param.ChoicingParam,
param.ArtABasedVigilance, param.MaximumEntropy, param.MaximumTotalEntropy, param.VigilanceAdjustRate, param.ArtABeta);
}
else
{
fartmap = new SimplifiedFuzzyARTMap(2 * param.InputSize, 2 * param.NoOfClasses, param.ArtABasedVigilance,
param.ChoicingParam, param.ArtABeta);
}
if (param.Mode == ProcessModifiedHybridFuzzyARTMapMode.EXTERNAL ||
param.Mode == ProcessModifiedHybridFuzzyARTMapMode.DUAL)
{
mcoa = new ModifiedClusteringOrderingAlgorithms(param.NoOfClasses);
}
// Analyze max-min of input columns
AnalyzeMaxMin();
// Initialize inputtransformers level 1
inputTransformers1 = new DataTransformChain[Parameter.InputSize];
InitializeInputDataTransform(inputTransformers1, Parameter.InputSize);
// inputtransformation level 2
inputTransformers2 = new DataTransformChain();
inputTransformers2.AppendDataTransform(new ComplementDataTransform(1.0));
// Target column
targetTransform = new DataTransformChain();
targetTransform.AppendDataTransform(new OneOfNDataTransform(Parameter.NoOfClasses));
targetTransform.AppendDataTransform(new ComplementDataTransform(1.0));
// Output transform
outputTransformers = new DataTransformChain();
outputTransformers.AppendDataTransform(new UnComplementDataTransform());
outputTransformers.AppendDataTransform(new ReverseOneOfNDataTransform(Parameter.NoOfClasses));
}
void Initialize()
{
performanceCounter = new ProcessPerformanceCounter();
// Create fuzzy art map network.
network = new SimplifiedFuzzyARTMap(Parameter.InputSize * 2,
Parameter.NoOfClasses * 2, Parameter.ArtABasedVigilance, Parameter.ChoicingParam, Parameter.ArtABeta);
network.FastCommitedSlowLearningOption = true;
// Analyze max-min of input columns
AnalyzeMaxMin();
// Initialize inputtransformers level 1
inputTransformers1 = new DataTransformChain[Parameter.InputSize];
InitializeInputDataTransform(inputTransformers1, Parameter.InputSize);
// inputtransformation level 2
inputTransformers2 = new DataTransformChain();
inputTransformers2.AppendDataTransform(new ComplementDataTransform(1.0));
// Target column
targetTransform = new DataTransformChain();
targetTransform.AppendDataTransform(new OneOfNDataTransform(Parameter.NoOfClasses));
targetTransform.AppendDataTransform(new ComplementDataTransform(1.0));
// Output transform
outputTransformers = new DataTransformChain();
outputTransformers.AppendDataTransform(new UnComplementDataTransform());
outputTransformers.AppendDataTransform(new ReverseOneOfNDataTransform(Parameter.NoOfClasses));
}
void Initialize()
{
performanceCounter = new ProcessPerformanceCounter();
if (param.Mode == ProcessModifiedHybridFuzzyARTMapMode.INTERNAL ||
param.Mode == ProcessModifiedHybridFuzzyARTMapMode.DUAL)
{
mfartmap = new ModifiedFuzzyARTMap(param.InputSize, param.NoOfClasses, param.ChoicingParam,
param.ArtABasedVigilance, param.MaximumEntropy, param.MaximumTotalEntropy, param.VigilanceAdjustRate, param.ArtABeta);
}
else
{
fartmap = new SimplifiedFuzzyARTMap(2*param.InputSize, 2*param.NoOfClasses, param.ArtABasedVigilance,
param.ChoicingParam, param.ArtABeta);
}
if (param.Mode == ProcessModifiedHybridFuzzyARTMapMode.EXTERNAL ||
param.Mode == ProcessModifiedHybridFuzzyARTMapMode.DUAL)
{
mcoa = new ModifiedClusteringOrderingAlgorithms(param.NoOfClasses);
}
// Analyze max-min of input columns
AnalyzeMaxMin();
// Initialize inputtransformers level 1
inputTransformers1 = new DataTransformChain[Parameter.InputSize];
InitializeInputDataTransform(inputTransformers1, Parameter.InputSize);
// inputtransformation level 2
inputTransformers2 = new DataTransformChain();
inputTransformers2.AppendDataTransform(new ComplementDataTransform(1.0));
// Target column
targetTransform = new DataTransformChain();
targetTransform.AppendDataTransform(new OneOfNDataTransform(Parameter.NoOfClasses));
targetTransform.AppendDataTransform(new ComplementDataTransform(1.0));
// Output transform
outputTransformers = new DataTransformChain();
outputTransformers.AppendDataTransform(new UnComplementDataTransform());
outputTransformers.AppendDataTransform(new ReverseOneOfNDataTransform(Parameter.NoOfClasses));
}