private void InitializeFirstLayer()
{
//Put first sample into the nodes of the first layer (X1,X2,X3,X4 into 1st Layer Nodes)
for (int i = 0; i < nodesPerLayer[0]; i++)
{
List<double> temp = new List<double>();
for (int j = 0; j < list_of_features.Count; j++)
{
temp.Add(list_of_features[j][0]);
}
Neuron t = new Neuron();
t.setInputs(temp);
hiddenlayers[0].Add(t);
}
//Initialize weights of the nodes of the first layer to 0
List<double> tempWeights = new List<double>();
for (int i = 0; i < list_of_features.Count; i++)
{
tempWeights.Add(0);
}
for (int i = 0; i < nodesPerLayer[0]; i++)
{
hiddenlayers[0][i].setWeights(tempWeights);
}
}