public void FeedForwardTest()
{
FormMain_Accessor target = new FormMain_Accessor();
target.sqareSideLengthA = 3;
target.sqareSideLengthB = 3;
target.AllocateNetwork(3, 3);
target.rawSamples.Add(null);
target.rawSamples.Add(null);
target.rawSamples.Add(null);
target.xCookedSamples = new double[3][];
target.xCookedSamples[0] = new double[] { 1, -1, -1 };
target.xCookedSamples[1] = new double[] { -1, 1, -1 };
target.xCookedSamples[2] = new double[] { -1, -1, 1 };
target.yCookedSamples = new double[3][];
target.yCookedSamples[0] = new double[] { -1, -1, 1 };
target.yCookedSamples[1] = new double[] { -1, 1, -1 };
target.yCookedSamples[2] = new double[] { 1, -1, -1 };
target.Train();
double[] actual = target.FeedForward(new double[] { 1, -1, -1 });
double[] expected = new double[] { -3, -3, 5 };
for (int i = 0; i < 3; i++)
{
Assert.AreEqual(expected[i], actual[i], 1e-1);
}
expected = new double[] { -1, -1, 1 };
target.BinarizeToPlusMinus(ref actual);
for (int i = 0; i < 3; i++)
{
Assert.AreEqual(expected[i], actual[i], 1e-1);
}
}
public void TrainTest()
{
FormMain_Accessor target = new FormMain_Accessor();
target.sqareSideLengthA = 3;
target.sqareSideLengthB = 3;
target.AllocateNetwork(3, 3);
target.rawSamples.Add(null);
target.rawSamples.Add(null);
target.rawSamples.Add(null);
target.xCookedSamples = new double[3][];
target.xCookedSamples[0] = new double[] { 1, -1, -1 };
target.xCookedSamples[1] = new double[] { -1, 1, -1 };
target.xCookedSamples[2] = new double[] { -1, -1, 1 };
target.yCookedSamples = new double[3][];
target.yCookedSamples[0] = new double[] { -1, -1, 1 };
target.yCookedSamples[1] = new double[] { -1, 1, -1 };
target.yCookedSamples[2] = new double[] { 1, -1, -1 };
double[,] expected = new double[, ] {
{ -1, -1, 3 }, { -1, 3, -1 }, { 3, -1, -1 }
};
target.Train();
for (int i = 0; i < 3; i++)
{
for (int j = 0; j < 3; j++)
{
Assert.AreEqual(expected[i, j], target.w[i, j], 1e-1);
}
}
}