public static Layer createLayer(IList<NeuronProperties> neuronPropertiesVector)
{
Layer layer = new Layer();
foreach(NeuronProperties neuronProperties in neuronPropertiesVector) {
Neuron neuron = NeuronFactory.CreateNeuron(neuronProperties);
layer.AddNeuron(neuron);
}
return layer;
}
/// <summary>
/// Creates forward connectivity pattern between the specified layers
/// </summary>
/// <param name="fromLayer">layer to connect</param>
/// <param name="toLayer">layer to connect to</param>
/// <param name="weightVal"></param>
public static void ForwardConnect(Layer fromLayer, Layer toLayer, double weightVal)
{
for (int i = 0; i < fromLayer.NeuronsCount; i++)
{
Neuron fromNeuron = fromLayer.GetNeuronAt(i);
Neuron toNeuron = toLayer.GetNeuronAt(i);
CreateConnection(fromNeuron, toNeuron, weightVal);
}
}
public static Layer createLayer(int neuronsCount, NeuronProperties neuronProperties)
{
Layer layer = new Layer(neuronsCount, neuronProperties);
return layer;
}
/// <summary>
/// Creates full connectivity between two specified layers with specified
/// weight for all connections
/// </summary>
/// <param name="fromLayer">output layer</param>
/// <param name="toLayer">input layer</param>
/// <param name="weightVal">connection weight value</param>
public static void FullConnect(Layer fromLayer, Layer toLayer, double weightVal)
{
foreach (Neuron fromNeuron in fromLayer.Neurons)
{
foreach (Neuron toNeuron in toLayer.Neurons)
{
CreateConnection(fromNeuron, toNeuron, weightVal);
}
}
}
/// <summary>
/// Creates full connectivity within layer - each neuron with all other
/// within the same layer with the specified weight and delay values for all
/// conections.
/// </summary>
/// <param name="layer"></param>
/// <param name="weightVal"></param>
/// <param name="delay"></param>
public static void FullConnect(Layer layer, double weightVal, int delay)
{
int neuronNum = layer.NeuronsCount;
for (int i = 0; i < neuronNum; i++)
{
for (int j = 0; j < neuronNum; j++)
{
if (j == i)
continue;
Neuron from = layer.GetNeuronAt(i);
Neuron to = layer.GetNeuronAt(j);
CreateConnection(from, to, weightVal, delay);
} // j
} // i
}
/// <summary>
/// Creates full connectivity between the two specified layers
/// </summary>
/// <param name="fromLayer">layer to connect</param>
/// <param name="toLayer">layer to connect to</param>
/// <param name="connectBiasNeuron"></param>
public static void FullConnect(Layer fromLayer, Layer toLayer, bool connectBiasNeuron)
{
foreach (Neuron fromNeuron in fromLayer.Neurons)
{
if (fromNeuron is BiasNeuron) continue;
foreach (Neuron toNeuron in toLayer.Neurons)
{
CreateConnection(fromNeuron, toNeuron);
}
}
}
/// <summary>
/// Removes specified layer from network
/// </summary>
/// <param name="layer">layer to remove</param>
public void RemoveLayer(Layer layer)
{
this.layers.Remove(layer);
}
/// <summary>
/// Returns index position of the specified layer
/// </summary>
/// <param name="layer">requested Layer object</param>
/// <returns>layer position index</returns>
public int IndexOf(Layer layer)
{
return this.layers.IndexOf(layer);
}
/// <summary>
/// Adds layer to specified index position in network
/// </summary>
/// <param name="idx">index position to add layer</param>
/// <param name="layer">layer to add</param>
public void AddLayer(int idx, Layer layer)
{
layer.ParentNetwork = this;
this.layers.Insert(idx, layer);
}
/// <summary>
/// Adds layer to neural network
/// </summary>
/// <param name="layer">layer to add</param>
public void AddLayer(Layer layer)
{
layer.ParentNetwork = this;
this.layers.Add(layer);
}