LITMIR.BIZ

      // Create the I/O neurons of the net using a MemBrain lesson file

      void CreateIOFromMbl ()

      {

      string lessonFileName;

      if (FileOpenDlg («Select Lesson File», «mbl», «», lessonFileName) == IDOK)

      {

      // Load the lesson into #1 (delete all other lessons)

      SetLessonCount (1);

      LoadLesson (lessonFileName);

      gInputCount = GetLessonInputCount ();

      gOutputCount = GetLessonOutputCount ();

      if (gInputCount> gMaxCountPerLayer)

      {

      MessageBox («Too many input columns in lesson!»);

      AbortScript ();

      }

      else if (gOutputCount> gMaxCountPerLayer)

      {

      MessageBox («Too many output columns in lesson!»);

      AbortScript ();

      }

      // Now we tell the editor to actually create the input and output neurons.

      // The number of hidden layers is required here to leave space for them.

      // Create net based on lesson or manual input?

      if (MessageBox («Do you want to create the net based on a MemBrain lesson file?», MB_YESNO) == IDYES)

      {

      gUseLesson = true;

      CreateIOFromMbl ();

      }

      else

      {

      CreateIOFromUserInput ();