Exemplo n.º 1
0
void SimulateNet(NET* Net, INT* Input, INT* Target, BOOL Training, BOOL Protocoling)
{
  INT Output[M];
   
  SetInput(Net, Input, Protocoling);
  PropagateNet(Net);
  GetOutput(Net, Output, Protocoling);
   
  ComputeOutputError(Net, Target);
  if (Training)
    AdjustWeights(Net);
}
Exemplo n.º 2
0
void SimulateNet(NET* Net, REAL* Input, REAL* Output, REAL* Target, BOOL Training)
{
  SetInput(Net, Input);
  PropagateNet(Net);
  GetOutput(Net, Output);
   
  ComputeOutputError(Net, Target);
  if (Training) {
    BackpropagateNet(Net);
    AdjustWeights(Net);
  }
}
Exemplo n.º 3
0
void MultiLayerPerceptron::Simulate(double* input, double* output, double* target, bool training)
{

  if(!input)  return;
  if(!target) return;  

  SetInputSignal(input);
  PropagateSignal();
  if(output) GetOutputSignal(output);

  if(output && !training) printf("test: %.2f %.2f %.2f = %.2f\n", input[0],input[1],target[0],output[0]);

  ComputeOutputError(target); 
  if (training) 
    {
      BackPropagateError();
      AdjustWeights();
    }
}