public SOM(AppSettings appSettings )
{
_appSettings = appSettings;
_netState = NET_STATE.init;
_trainingPhase = TRAINING_PHASE.phase_1;
_currentIteration = 1;
_totalMapError = 0.0f;
_isNeuronSelected = false;
_selectedNeuronCoords = new Point( 0, 0 );
_isTrained = false;
_timeConstant_P1 = (float)_appSettings.numIterations_P1 / (float)Math.Log( _appSettings.mapRadius );
_learningRate_P1 = _appSettings.startLearningRate_P1;
_learningRate_P2 = _appSettings.startLearningRate_P2;
// Allocate memory.
_competitionLayer = new Neuron[ SOMConstants.NUM_NODES_DOWN, SOMConstants.NUM_NODES_ACROSS ];
for ( int i = 0; i < SOMConstants.NUM_NODES_DOWN; ++i ) {
for ( int j = 0; j < SOMConstants.NUM_NODES_ACROSS; ++j ) {
_competitionLayer[ i,j ] = new Neuron( i, j );
}
}
_errorMap = new float[ SOMConstants.NUM_NODES_DOWN, SOMConstants.NUM_NODES_ACROSS, 3 ];
Run();
}
public MainWindow()
{
InitializeComponent();
// Initialize application setting for SOM and its visual
_appSettings = new AppSettings();
UpdateAppSettings();
// Initialize SOM
_som = new SOM(_appSettings);
// Initialize visual for competition layer
visualHost_CompetitionLayer = new SOMVisual(SOMVisualType.COMPETITION_LAYER_MAP, SOMConstants.NUM_NODES_ACROSS,
(int)_appSettings.width, (int)_appSettings.height, _som);
canvas_CompetitionLayer.Children.Add(visualHost_CompetitionLayer);
// Initialize visual for error map
visualHost_ErrorMap = new SOMVisual(SOMVisualType.ERROR_MAP, SOMConstants.NUM_NODES_ACROSS,
(int)_appSettings.width, (int)_appSettings.height, _som);
canvas_ErrorMap.Children.Add(visualHost_ErrorMap);
// Initialize histograms
for (int i = 0; i < SOMConstants.NUM_WEIGHTS; i++)
{
NeuronHistogram.DataItems.Add(new ColumnDataPoint());
FeatureHistogram.DataItems.Add(new ColumnDataPoint());
}
CompositionTarget.Rendering += CompositionTarget_Rendering;
}
private void UpdateAppSettings()
{
if (_appSettings == null)
{
_appSettings = new AppSettings();
}
// Initialization fill
if (radioButton_Random.IsChecked == true)
{
_appSettings.initFill = INIT_FILL.random;
}
else if (radioButton_Gradient.IsChecked == true)
{
_appSettings.initFill = INIT_FILL.gradient;
}
// Assumes both rendering canvases are of the same dimension
_appSettings.width = (float)canvas_CompetitionLayer.Width;
_appSettings.height = (float)canvas_CompetitionLayer.Height;
// Calculate competition layer dimension
_appSettings.nodeWidth = _appSettings.width / (float)SOMConstants.NUM_NODES_ACROSS;
_appSettings.nodeHeight = _appSettings.height / (float)SOMConstants.NUM_NODES_DOWN;
_appSettings.mapRadius = Math.Max(_appSettings.width, _appSettings.height) / 2.0f;
// Initialize learning rates
_appSettings.startLearningRate_P1 = (float)decimalUpDown_LearningRateP1.Value;
_appSettings.startLearningRate_P2 = (float)decimalUpDown_LearningRateP2.Value;
// Initialize iterations
_appSettings.numIterations_P1 = (int)integerUpDown_IterationP1.Value;
_appSettings.numIterations_P2 = (int)integerUpDown_IterationP2.Value;
_appSettings.imageDirectory = textBox_ImageDirectory.Text;
GetInputVectors();
}
