protected async Task BeginTrainNetwork()
{
await Task.Factory.StartNew(() => {
lock (locker) {
ReadyToTrain = false;
Training = true;
IsRunning = true;
Status = "Training";
var localIteration = 0;
var rand = new Random();
var width = (int)Math.Sqrt(network.Layers[0].Neurons.Length);
var trainer = new SOMTrainer(width, width, network);
var fixedLearningRate = LearningRate / 10.0;
var driftingLearningRate = fixedLearningRate * 9.0;
var maxIterations = Iterations + CurrentIteration;
var input = new double[3];
while (CurrentIteration < maxIterations && IsRunning)
{
trainer.LearningRate = driftingLearningRate * (Iterations - localIteration) / Iterations + this.LearningRate;
trainer.LearningRadius = (double)ClusterRadius * (Iterations - localIteration) / Iterations;
for (var i = 0; i < input.Length; i++)
{
input[i] = rand.NextDouble();
}
trainer.Run(input);
if (CurrentIteration % RefreshRate == 0)
{
try {
BitMap.Dispatcher.Invoke(UpdateMap);
}
catch (TaskCanceledException) { }
}
CurrentIteration++;
localIteration++;
}
BitMap.Dispatcher.Invoke(UpdateMap);
Status = "Ready";
Training = false;
ReadyToTrain = true;
}
});
}
