void Network_EndEpochEvent(object sender, NeuronDotNet.Core.TrainingEpochEventArgs e)
{
INetwork network = (INetwork) sender;
results[iteration] = (float)network.MeanSquaredError;
results[iteration + 1] = (float) stopWatch.Elapsed.TotalMilliseconds;
iteration += 2;
//Updating the UI thread bottlenecks performance
if (updateCount++ > 100)
{
changeThreadProgress(Int32.Parse(Thread.CurrentThread.Name), network.MeanSquaredError, e.TrainingIteration,"Optimising");
updateCount = 0;
}
}
//Set neural network
public virtual void setNeural(NeuronDotNet.Core.Network network)
{
}
void Network_EndEpochEvent(object sender, NeuronDotNet.Core.TrainingEpochEventArgs e)
{
INetwork network = (INetwork) sender;
//Updating the UI thread bottlenecks performance
if (stopWatch.ElapsedMilliseconds > 100)
{
changeThreadProgress(Int32.Parse(Thread.CurrentThread.Name), network.MeanSquaredError, e.TrainingIteration,"Optimising");
stopWatch.Reset();
stopWatch.Start();
}
}
