public RBFNetwork(IDistanceCalculator distance, IGaussianFunction gaussian, IWidthCalculator widthCalculator, INeuronPositioner positioner, int radialNeuronCount, int linearNeuronCount, int inputDimensions)
{
_distance = distance;
_gaussian = gaussian;
_widthCalculator = widthCalculator;
_neuronPositioner = positioner;
RadialLayer = new List <RadialNeuron>();
for (int i = 0; i < radialNeuronCount; i++)
{
RadialLayer.Add(new RadialNeuron(inputDimensions));
}
LinearLayer = new List <LinearNeuron>();
for (int i = 0; i < linearNeuronCount; i++)
{
LinearLayer.Add(new LinearNeuron());
}
MeanSquaredErrors = new List <double>();
TestMeanSquaredErrors = new List <double>();
}
private void ComboBox_SelectionChanged(object sender, SelectionChangedEventArgs e)
{
var selectedName = ((ComboBoxItem)TaskCombo.SelectedItem).Content;
switch (selectedName)
{
case "Approximation":
taskSelected = TaskSelection.APPROX;
TrainingSetPath.Text = "approximation1.txt";
TestingSetPath = "approximation_test.txt";
chosenPositioner = new RandomNeuronPositioner();
break;
case "Classification":
taskSelected = TaskSelection.CLASS;
TrainingSetPath.Text = "classification.txt";
TestingSetPath = "classification_test.txt";
chosenPositioner = new KMeansNeuronPositioner();
break;
}
}
