public void CanMakeAndReadZeroNetworkMatrix()
{
int neuronCount = 2;
int inputcount = 3;
WeightsMatrix matrix = new WeightsMatrix(neuronCount, inputcount);
double[,] matrixValues = matrix.ToArray();
Assert.AreEqual(neuronCount, matrix.NumberOfOutputs);
Assert.AreEqual(inputcount, matrix.NumberOfInputs);
for (int i = 0; i < neuronCount; i++)
{
for (int j = 0; j < inputcount; j++)
{
Assert.AreEqual(0.0, matrixValues[i, j]);
}
}
}
public void CanMultiply()
{
NetworkVector vector1 = new NetworkVector(new double[] { 1, 0 });
NetworkVector vector2 = new NetworkVector(new double[] { 0, 1 });
WeightsMatrix product = vector1.OuterProduct(vector2);
double[,] productValues = product.ToArray();
Assert.AreEqual(0, productValues[0, 0]);
Assert.AreEqual(1, productValues[0, 1]);
Assert.AreEqual(0, productValues[1, 0]);
Assert.AreEqual(0, productValues[1, 1]);
//double[] array = new double[1000];
//array[0] = 1;
//NetworkVector nv = new NetworkVector(array);
//nv.LeftMultiply(nv);
}
public void CanSubtract()
{
int neuronCount = 2;
int inputcount = 3;
WeightsMatrix matrix = new WeightsMatrix(new double[, ] {
{ 0, 1, 2 }, { 1, 2, 3 }
});
matrix.Subtract(matrix);
double[,] matrixValues = matrix.ToArray();
for (int i = 0; i < neuronCount; i++)
{
for (int j = 0; j < inputcount; j++)
{
Assert.AreEqual(0, matrixValues[i, j]);
}
}
}