void neuralNetwork_IterationChanged(object o, NeuralEventArgs args)
{
if (ManualReset.WaitOne(0, true))
{
args.Stop = true;
}
}
public void neuralNetwork_IterationChangedTest()
{
NeuralNetworksViewModel_Accessor target = new NeuralNetworksViewModel_Accessor(); // TODO: Initialize to an appropriate value
object sender = null; // TODO: Initialize to an appropriate value
NeuralEventArgs args = null; // TODO: Initialize to an appropriate value
target.neuralNetwork_IterationChanged(sender, args);
Assert.Inconclusive("A method that does not return a value cannot be verified.");
}
public void NeuralEventArgsConstructorTest()
{
bool stop = false; // TODO: Initialize to an appropriate value
double currError = 0F; // TODO: Initialize to an appropriate value
int currIter = 0; // TODO: Initialize to an appropriate value
NeuralEventArgs target = new NeuralEventArgs(stop, currError, currIter);
Assert.Inconclusive("TODO: Implement code to verify target");
}
void neuralNetwork_IterationChanged(object o, NeuralEventArgs args)
{
UpdateError(args.CurrentError);
UpdateIteration(args.CurrentIteration);
if (ResetManual.WaitOne(0, true))
{
args.Stop = true;
}
}
public void CurrentErrorTest()
{
NeuralEventArgs target = new NeuralEventArgs(); // TODO: Initialize to an appropriate value
double expected = 0F; // TODO: Initialize to an appropriate value
double actual;
target.CurrentError = expected;
actual = target.CurrentError;
Assert.AreEqual(expected, actual);
Assert.Inconclusive("Verify the correctness of this test method.");
}
public void StopTest()
{
NeuralEventArgs target = new NeuralEventArgs(); // TODO: Initialize to an appropriate value
bool expected = false; // TODO: Initialize to an appropriate value
bool actual;
target.Stop = expected;
actual = target.Stop;
Assert.AreEqual(expected, actual);
Assert.Inconclusive("Verify the correctness of this test method.");
}
public void CurrentIterationTest()
{
NeuralEventArgs target = new NeuralEventArgs(); // TODO: Initialize to an appropriate value
int expected = 0; // TODO: Initialize to an appropriate value
int actual;
target.CurrentIteration = expected;
actual = target.CurrentIteration;
Assert.AreEqual(expected, actual);
Assert.Inconclusive("Verify the correctness of this test method.");
}
public bool Train()
{
double currentError = 0;
int currentIteration = 0;
NeuralEventArgs Args = new NeuralEventArgs();
do
{
currentError = 0;
foreach (FaceImage face in _trainingSet)
{
_neuralNet.ForwardPropagate(face.VectorInNet, face.PersonId);
_neuralNet.BackPropagate();
currentError += _neuralNet.GetError();
}
currentIteration++;
if (IterationChanged != null && currentIteration % 5 == 0)
{
Args.CurrentError = currentError;
Args.CurrentIteration = currentIteration;
IterationChanged(this, Args);
}
} while (currentError > _maxError && currentIteration < _maxIter && !Args.Stop);
if (IterationChanged != null)
{
Args.CurrentError = currentError;
Args.CurrentIteration = currentIteration;
IterationChanged(this, Args);
}
if (currentIteration >= _maxIter || Args.Stop)
{
return(false);//Training Not Successful
}
return(true);
}
private void neuralNetwork_IterationChanged(object sender, NeuralEventArgs args)
{
UpdateError(args.CurrentError);
UpdateIteration(args.CurrentIteration);
}
public void NeuralEventArgsConstructorTest1()
{
NeuralEventArgs target = new NeuralEventArgs();
Assert.Inconclusive("TODO: Implement code to verify target");
}
void neuralNetwork_IterationChanged(object o, NeuralEventArgs args)
{
}
