public void TestAlternativeMatrix()
{
double[][] from_l1 = new double[][]
{
new double[] { -30, 20, 20 },
new double[] { 10, -20, -20 }
};
double[][] from_l2 = new double[][]
{
new double[] { -10, 20, 20 }
};
double[][][] weights = new double[][][]
{
from_l1,
from_l2
};
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 2, 2, 1 });
n.SetWeightMatrix(weights);
double[] from_l1_expected = new double[] { -30, 20, 20, 10, -20, -20 };
double[] from_l2_expected = new double[] { -10, 20, 20 };
double[][] weights_expected = new double[][]
{
from_l1_expected,
from_l2_expected
};
Assert.AreEqual(weights_expected, n.GetWeightMatrix());
}
public void TestInputEqualsOutput()
{
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 1 });
n.SetWeightMatrix(new double[][]
{
new double[] { 1, 1 }
});
n.SetInput(new double[] { 9 });
Assert.AreEqual(n.GetOutput()[0], 9);
}
public void TestWeightMatrix()
{
double[] from_l1 = new double[] { -30, 20, 20, 10, -20, -20 };
double[] from_l2 = new double[] { -10, 20, 20 };
double[][] weights = new double[][]
{
from_l1,
from_l2
};
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 2, 2, 1 });
n.SetWeightMatrix(weights);
Assert.AreEqual(n.GetWeightMatrix(), weights);
}
public static NNetwork XorNetwork()
{
double[] from_l1 = new double[] { -30, 20, 20, 10, -20, -20 };
double[] from_l2 = new double[] { -10, 20, 20 };
double[][] weights = new double[][]
{
from_l1,
from_l2
};
NNetwork xor_network = NNetwork.SigmoidNetwork(new int[] { 2, 2, 1 });
xor_network.SetWeightMatrix(weights);
return(xor_network);
}
public void TestSimplestConnection()
{
NNetwork n = NNetwork.SigmoidNetwork(new int[] { 1, 1 });
n.SetWeightMatrix(new double[][]
{
new double[] { 1, 1 },
new double[] { 1, 1 }
});
n.SetInput(new double[] { 1 });
var output = n.GetOutput()[0];
var desired = 1 / (1 + Math.Pow(Math.E, -2));
MyAssert.CloseTo(output, desired);
}