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) { }