public PoptvrModel PopLearn()
{
this.poptvr = new PoptvrModel(this.dataset, this.clusterSetting);
this.poptvr.initMembership(inputCluster, outputCluster);
this.poptvr.popLearn();
FileWriter fileWriter = new FileWriter(this.appConfig);
fileWriter.WritePopLearnOutput(this.poptvr);
return this.poptvr;
}
public ClusterInterface getInputCluster(AppConfig appConfig)
{
ClusterInterface cluster = new MLVQ(this.dataset.NumberOfInputNodes, this.clusterSetting.InputClusterSize);
cluster.computeInitialCentroids(this.dataset.Inputdata, new double[0, 0], this.dataset.TotalNumberOfRecords);
FileWriter fileWriter = new FileWriter(appConfig);
fileWriter.WriteDoubleArray("inputIniCent.txt", cluster.Centroids);
fileWriter.WriteDoubleArray("inputIniWidths.txt", cluster.Widths);
cluster.computeFinalCentroids(this.dataset.Inputdata, this.dataset.DesiredOutputs, this.dataset.TotalNumberOfRecords);
fileWriter.WriteDoubleArray("inputFinCent.txt", cluster.Centroids);
fileWriter.WriteDoubleArray("inputFinWidths.txt", cluster.Widths);
return cluster;
}
public static PoptvrModel RuleReduction(PoptvrModel poptvr, DataSet dataset, AppConfig appConfig)
{
Console.WriteLine("Start RSPOP reduction ...");
double[] CO = new double[dataset.NumberOfOutputNodes * poptvr.OutputClusterSize];
double[] COr = new double[dataset.NumberOfOutputNodes * poptvr.OutputClusterSize];
string res = "Removed from total " + poptvr.RuleLayer.Length + "\n";
for (int k = 0; k < poptvr.RuleLayer.Length; k++)
{
for (int i = 0; i < dataset.TotalNumberOfRecords; i++)
{
Console.Write("at condition " + k + "\t" + "record " + i + "\n");
poptvr.forwardFeed(SystemFunctions.getArrayAtRow(dataset.Inputdata, i));
for (int j = 0; j < dataset.NumberOfOutputNodes * poptvr.OutputClusterSize; j++)
{
CO[j] = poptvr.ConsequenceLayer[j].Output;
}
for (int l = 0; l < poptvr.InputClusterSize; l++)
{
bool deterioration = false;
poptvr.RuleLayer[k].PointBlocked = true;
poptvr.RuleLayer[k].PointBlockedAt = l;
poptvr.forwardFeed(SystemFunctions.getArrayAtRow(dataset.Inputdata, i));
for (int j = 0; j < dataset.NumberOfOutputNodes * poptvr.OutputClusterSize; j++)
{
COr[j] = poptvr.ConsequenceLayer[j].Output;
if (COr[j] < CO[j])
{
deterioration = true;
}
else
{
for (int m = 0; m < CO.Length; m++)
{
if (COr[j] > CO[m])
{
deterioration = true;
break;
}
}
}
if (deterioration)
{
break;
}
}
if (!deterioration)
{
res += (l + " is remove at " + k + "\n");
poptvr.RuleLayer[k].PointBlocked = false;
}
if (deterioration)
{
poptvr.RuleLayer[k].PointBlocked = false;
}
}
}
}
FileWriter fileWriter = new FileWriter(appConfig);
fileWriter.WriteToFile(appConfig.getOutputFolder() + "Removed Rule.txt", res);
return poptvr;
}
public void PopTest(DataSet dataset)
{
string result = PoptvrModel.POPTest(this.poptvr, dataset);
FileWriter fileWriter = new FileWriter(this.appConfig);
fileWriter.WritePopTestOutput(result);
}
