Beispiel #1
0
 public void TrainOn(NNDataSet innds, int numberofEpochs)
 {
     for (int i = 0; i < numberofEpochs; i++)
     {
         innds.RefreshDataset();
         while (innds.HasMoreExamples())
         {
             NNExample nne = innds.GetExampleAtRandom();
             this.ProcessInput(nne.GetInput());
             Vector error = layer.ErrorVectorFrom(nne.GetTarget());
             this.ProcessError(error);
         }
     }
 }
Beispiel #2
0
 public int[] TestOnDataSet(NNDataSet nnds)
 {
     int[] result = new int[] { 0, 0 };
     nnds.RefreshDataset();
     while (nnds.HasMoreExamples())
     {
         NNExample nne        = nnds.GetExampleAtRandom();
         Vector    prediction = this.Predict(nne);
         if (nne.IsCorrect(prediction))
         {
             result[0] = result[0] + 1;
         }
         else
         {
             result[1] = result[1] + 1;
         }
     }
     return(result);
 }