private void SimplePerceptronTrain()
{
InitializeWeights();
decimal tempSum = 0;
for (int i = 0; i < iterationLimit; i++)
{
foreach (Dots member in ExtractData.GetDataTrain())
{
#region Compute Output
for (int j = 0; j < numClusters; j++)
{
decimal a = Activation(member.X, ClusterCenters[j, 0], ClusterSpreads[j]);
decimal w = Weights[j];
tempSum += a * w;
}
#endregion
#region UpdateWeights
decimal delta = 0;
for (int j = 0; j < numClusters; j++)
{
delta = trainingCoefficient * (member.Y - tempSum) * Activation(member.X, ClusterCenters[j, 0], ClusterSpreads[j]);
Weights[j] += delta;
}
#endregion
tempSum = 0;
}
}
}
private void FindSpreads()
{
ClusterSpreads = new decimal[numClusters];
for (int i = 0; i < numClusters; i++)
{
ClusterSpreads[i] = Utils.SimpleDistance(ClusterCenters[i, 0], ExtractData.GetDataTrain().Max(x => x.X)) / 2;
}
}
public RBF(int ParamNumClusters, int numOfIterations)
{
iterationLimit = numOfIterations;
numClusters = ParamNumClusters;
AssignClusterCenters(numClusters);
InitialCluster();
FindSpreads();
SimplePerceptronTrain();
SimplePerceptronValidate();
List <Dots> asdasd = ExtractData.GetDataTrain();
}
private void ReCalculateCenters()
{
for (int i = 0; i < numClusters; i++)
{
decimal count = Convert.ToDecimal(ExtractData.GetDataTrain().Where(x => x.BelongingCluster[numClusters - 1] == i + 1).Count());
decimal summ = ExtractData.GetDataTrain().Where(x => x.BelongingCluster[numClusters - 1] == i + 1).Sum(y => y.X);
if (count != 0)
{
ClusterCenters[i, 0] = summ / count;
}
}
}
private void InitialCluster()
{
foreach (Dots item in ExtractData.GetDataTrain())
{
decimal Dist = 500000m;
for (int i = 0; i < numClusters; i++)
{
item.DistanceToCentersByX[i] = Utils.SimpleDistance(ClusterCenters[i, 0], item.X);
}
for (int i = 0; i < numClusters; i++)
{
if (item.DistanceToCentersByX[i] < Dist)
{
Dist = item.DistanceToCentersByX[i];
item.BelongingCluster[numClusters - 1] = i + 1;
}
}
}
ReCalculateCenters();
foreach (Dots item in ExtractData.GetDataValidation())
{
decimal Dist = 500000m;
for (int i = 0; i < numClusters; i++)
{
item.DistanceToCentersByX[i] = Utils.SimpleDistance(ClusterCenters[i, 0], item.X);
}
for (int i = 0; i < numClusters; i++)
{
if (item.DistanceToCentersByX[i] < Dist)
{
Dist = item.DistanceToCentersByX[i];
item.BelongingCluster[numClusters - 1] = i + 1;
}
}
}
}
