C#

readonly object loggerLock = new object();
StringBuilder loggerBuffer = new StringBuilder();

private void trainingANN_instance_LogReportSynch(string stringname)
{
   // no need to invoke as we're not directly accessing tbVeryBig
   lock (loggerLock) {
      loggerBuffer.Append(stringname);
   }
}

void logTimer_Tick(object sender, EventArgs e)
{
   string newText;
   lock (loggerLock) {
      newText = loggerBuffer.ToString();
      loggerBuffer.Length = 0; // reset buffer
   } // leave lock as soon as possible so that the calculation never has to wait for long
   if (newText.Length > 0)
     tbVeryBig.AppendText(newText);
}

EARNEST_OLEK wrote:

I am a bit confused. Can you explain it pls if u dont mind?

private void Initiate_ANN_Training()
{
    MethodInvoker guiUpdateDuringLearning = new MethodInvoker(ThreadDynamic);
    MethodInvoker guiUpdateAfterLearning = new MethodInvoker(AfterLearning);

    SettingsInfoDisplay(); //displaying information for visual guiding
        Options(); //options for training
        /*
        this.tbVeryBig.AppendText("[" + DateTime.Now.TimeOfDay.ToString() + "]: INPUT NEURONS [" + inputNeurons + "]\r\n");
        this.tbVeryBig.AppendText("[" + DateTime.Now.TimeOfDay.ToString() + "]: HIDEEN NEURONS [" + hiddenNeurons + "]\r\n");
        this.tbVeryBig.AppendText("[" + DateTime.Now.TimeOfDay.ToString() + "]: OUTPUT NEURONS [" + outputNeurons + "]\r\n");
        this.tbVeryBig.AppendText("[" + DateTime.Now.TimeOfDay.ToString() + "]: ERROR RATE [" + errorTreshold + "]\r\n");
        this.tbVeryBig.AppendText("[" + DateTime.Now.TimeOfDay.ToString() + "]: LEARNING RATE [" + learningRate + "]\r\n");
        this.tbVeryBig.AppendText("[" + DateTime.Now.TimeOfDay.ToString() + "]: PROGRESS FILTER [" + filtername + "]\r\n");
        */
        //instanciate training class
        trainingANN_instance = new ANN_Training();
        Invoke(guiUpdateDuringLearning);



        //trainingANN_instance.LoopEnd += new LoopEndHandler(trainingANN_instance_LoopEnd);
        trainingANN_instance.GoodFactsSynch += new StatsSynch(trainingANN_instance_GoodFactsSynch); //updates textbox of good facts
        trainingANN_instance.BadFactsSynch += new StatsSynch(trainingANN_instance_BadFactsSynch); //updates tbox of bad
        trainingANN_instance.RatioSynch += new StatsSynch(trainingANN_instance_RatioSynch); //updates tbox ratio
        trainingANN_instance.ConvergeRateSynch += new StatsSynch(trainingANN_instance_ConvergeRateSynch); //converge
        trainingANN_instance.EpochSynch += new StatsSynch(trainingANN_instance_EpochSynch);//epoch
        trainingANN_instance.LogReportSynch += new StringSynch(trainingANN_instance_LogReportSynch); //log reporter
        trainingANN_instance.BadFactsForGraphSynch += new StatsSynch(trainingANN_instance_BadFactsForGraphSynch); //graph
        //trainingANN_instance.WHMatrixSynch += new Weights_MatrixSynch(trainingANN_instance_WHMatrixSynch);
        //trainingANN_instance.WOMatrixSynch += new Weights_MatrixSynch(trainingANN_instance_WOMatrixSynch);

        //training ANN
        trainingANN_instance.Training(inputNeurons, hiddenNeurons, outputNeurons, errorTreshold, learningRate, progressFilter, logOption);
        Invoke(guiUpdateAfterLearning);

}

private void trainingANN_instance_RatioSynch(double variable)
 {
     if (this.InvokeRequired)
     {
         BeginInvoke(new DelegateToCrossThread_Double(trainingANN_instance_RatioSynch), new object[] { variable });
         return;

     }
     else
     {

         this.tbRatio.Text = "" + variable;
     }
 }

System.Reflection.TargetParameterCountException was unhandled
  Message="Parameter count mismatch."
  Source="System.Windows.Forms"
  StackTrace:
       at System.Windows.Forms.Control.MarshaledInvoke(Control caller, Delegate method, Object[] args, Boolean synchronous)
       at System.Windows.Forms.Control.Invoke(Delegate method, Object[] args)
       at ANN_Project.ANN_GUI.trainingANN_instance_RatioSynch(Double variable) in C:\Users\EARNEST\Documents\Visual Studio 2008\Projects\ANN_take2\ANN_take2\ANN_GUI.cs:line 541
       at ANN_Project.ANN_Training.Training(Int32 inputNeurons, Int32 hiddenNeurons, Int32 outputNeurons, Double errorThreshold, Double learning, Int32 optionSel, Boolean dynamicLogOption) in C:\Users\EARNEST\Documents\Visual Studio 2008\Projects\ANN_take2\ANN_take2\ANN_Training.cs:line 255
       at ANN_Project.ANN_GUI.Initiate_ANN_Training() in C:\Users\EARNEST\Documents\Visual Studio 2008\Projects\ANN_take2\ANN_take2\ANN_GUI.cs:line 368
       at System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state)
       at System.Threading.ThreadHelper.ThreadStart()
  InnerException: 

private void trainingANN_instance_RatioSynch(double variable)
{
    if (this.InvokeRequired)
    {
        DelegateToCrossThread_Double del = new DelegateToCrossThread_Double(trainingANN_instance_BadFactsForGraphSynch);
        this.Invoke(del);

    }
    else
    {

        this.tbRatio.Text = "" + variable;
    }
}

msg55121 wrote:

Thanks for the help.

sanforjackass wrote:

but as i said before i dont have a static IP

Som wrote:

You need to ask your ISP to provide you with a static IP address. Depending on your plan, it may be a free or paid service.