public void SetUp()
{
layer2 = new NeuronLayer();
layer1 = new NeuronLayer(layer2);
double[,] weights1 = new double[, ] {
{ 1, 1, 1, 1 }, { 1, 1, 1, 1 },
{ 1, 1, 1, 1 }, { 1, 1, 1, 1 }
};
double[,] weights2 = new double[, ] {
{ 1, 1, 1, 1 }, { 1, 1, 1, 1 },
{ 1, 1, 1, 1 }, { 1, 1, 1, 1 }
};
for (int i = 0; i < NEURON_SIZE; i++)
{
Neuron neuron1 = new Neuron(LinearFunction.Instance);
for (int j = 0; j <= weights1.GetUpperBound(0); j++)
{
neuron1.Weights.Add(weights1[i, j]);
}
layer1.AddNeuron(neuron1);
Neuron neuron2 = new Neuron(LinearFunction.Instance);
for (int j = 0; j <= weights2.GetUpperBound(0); j++)
{
neuron2.Weights.Add(weights2[i, j]);
}
layer2.AddNeuron(neuron2);
}
}
public void SetUp()
{
layer2 = new NeuronLayer();
layer1 = new NeuronLayer(layer2);
double[,] weights1 = new double[,] { { 1, 1,1 ,1 }, { 1, 1, 1, 1 },
{1, 1, 1, 1}, { 1, 1, 1, 1}};
double[,] weights2 = new double[,]{ { 1, 1, 1,1 }, { 1, 1, 1, 1 },
{1, 1, 1, 1}, { 1, 1, 1, 1}};
for (int i = 0; i < NEURON_SIZE; i++)
{
Neuron neuron1 = new Neuron(LinearFunction.Instance);
for(int j = 0; j <= weights1.GetUpperBound(0); j++)
neuron1.Weights.Add(weights1[i,j]);
layer1.AddNeuron(neuron1);
Neuron neuron2 = new Neuron(LinearFunction.Instance);
for (int j = 0; j <= weights2.GetUpperBound(0); j++)
neuron2.Weights.Add(weights2[i,j]);
layer2.AddNeuron(neuron2);
}
}
