public void Neuron_Activation_CorrectLogic()
{
// arrange
Neuron neuron = new Neuron();
Sinaps sinaps1 = new Sinaps(new Neuron()
{
Data = 0.5
}, 0.2);
Sinaps sinaps2 = new Sinaps(new Neuron()
{
Data = 0.3
}, 0.4);
neuron.Sinapses.Add(sinaps1);
neuron.Sinapses.Add(sinaps2);
double expected = 0;
foreach (Sinaps sinaps in neuron.Sinapses)
{
expected += sinaps.GetData();
}
expected = (Math.Exp(2 * expected) - 1) / (Math.Exp(2 * expected) + 1);
// act
neuron.Activation();
// assert
double actual = neuron.Data;
Assert.AreEqual(expected, actual);
}
public void Sinaps_GetData2_ExpectedCorrect()
{
// arrange
Neuron neuron = new Neuron()
{
Data = 0.156
};
Sinaps sinaps = new Sinaps(neuron, 0.754);
double expected = 0.754 * 0.156;
// act
double actual = sinaps.GetData();
// assert
Assert.AreEqual(expected, actual);
}
public void Neuron_Activation_CorrectRange()
{
// arrange
Neuron neuron = new Neuron();
Sinaps sinaps1 = new Sinaps(new Neuron()
{
Data = 0.5
}, 0.5);
Sinaps sinaps2 = new Sinaps(new Neuron()
{
Data = 0.3
}, 0.4);
neuron.Sinapses.Add(sinaps1);
neuron.Sinapses.Add(sinaps2);
// act
neuron.Activation();
// assert
double actual = neuron.Data;
Assert.IsTrue(actual >= -1 && actual <= 1);
}
