// build the neural network. Fills the arrays with neurons and connects them.
void build()
{
for (int i = 0; i < entryLevel.Length; i++)
{
entryLevel[i] = new neuron(length, outputLength);
}
for (int i = 0; i < numOfneuronsRows; i++)
{
for (int j = 0; j < length; j++)
{
if (i != numOfneuronsRows - 1)
{
neurons[i, j] = new neuron(length, outputLength);
}
else
{
neurons[i, j] = new neuron(outputLength, outputLength);
}
}
}
for (int i = 0; i < entryLevel.Length; i++)
{
for (int j = 0; j < length; j++)
{
entryLevel[i].neuronsOutFill(neurons[0, j], j);
}
}
for (int i = 0; i < numOfneuronsRows; i++)
{
for (int j = 0; j < length; j++)
{
if (i != numOfneuronsRows - 1)
{
for (int z = 0; z < length; z++)
{
neurons[i, j].neuronsOutFill(neurons[i + 1, z], z);
}
}
}
}
for (int i = 0; i < outputLevel.Length; i++)
{
outputLevel[i] = new neuron(outputLength, outputLength);
for (int j = 0; j < length; j++)
{
neurons[numOfneuronsRows - 1, j].neuronsOutFill(outputLevel[i], i);
}
}
}
// fills a neuron slot in the 'neuronsOut' array with a given neuron. The slot position is also given.
public void neuronsOutFill(neuron x, int place)
{
neuronsOut[place] = x;
}