/// <summary>
/// Constructs layer
/// </summary>
/// <param name="neuronCount">Number of neurons in layer</param>
/// <param name="weightSource">Source of weight values for neurons, either file or random number generator</param>
public Layer(uint neuronCount, IWeightSource weightSource)
{
neurons = new List <Neuron>();
for (int i = 0; i < neuronCount; i++)
{
neurons.Add(new Neuron(weightSource));
}
}
/// <summary>
/// Creates layers
/// </summary>
/// <param name="layerElementCountArray">Network format description</param>
/// <param name="weightSource">Weight source, either file or random number generator</param>
private void Construct(List <uint> layerElementCountArray, IWeightSource weightSource)
{
if (ValidateStructure(layerElementCountArray))
{
inputLayer = new List <float>((int)layerElementCountArray[0]);
layers = new List <Layer>();
for (int i = 1; i < layerElementCountArray.Count; i++)
{
layers.Add(new Layer(layerElementCountArray[i], weightSource));
}
Connect();
}
else
{
throw new Exception("Invalid network structure");
}
}
/// <summary>
/// Constructs network from file
/// </summary>
/// <param name="filePath"></param>
public Perceptron(string filePath)
{
NetworkFileReader reader = null;
try
{
reader = new NetworkFileReader(filePath);
List <uint> layerElementCountArray = reader.ReadNetworkStructure();
IWeightSource weightSource = reader.GetWeightSource();
Construct(layerElementCountArray, weightSource);
}
catch
{
throw;
}
finally
{
reader?.Close();
}
}
/// <summary>
/// Constructs neuron
/// </summary>
/// <param name="weightSource"></param>
public Neuron(IWeightSource weightSource)
{
weights = new List <float>();
this.weightSource = weightSource;
}
