/// <summary>
/// Initializes weights of all backpropagation synapses in the backpropagation connector.
/// </summary>
/// <param name="connector">
/// The backpropagation connector to initialize.
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>connector</c> is <c>null</c>
/// </exception>
public void Initialize(ConexionBackpropagation connector)
{
Helper.ValidateNotNull(connector, "connector");
foreach (BackpropagationSynapse synapse in connector.Synapses)
{
synapse.Weight = Helper.GetRandom(minLimit, maxLimit);
}
}
/// <summary>
/// Initializes weights of all backpropagation synapses in the backpropagation connector.
/// </summary>
/// <param name="connector">
/// The backpropagation connector to initialize.
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>connector</c> is <c>null</c>
/// </exception>
public void Initialize(ConexionBackpropagation connector)
{
Helper.ValidateNotNull(connector, "connector");
foreach (BackpropagationSynapse synapse in connector.Synapses)
{
synapse.Weight = constant;
}
}
/// <summary>
/// Initializes weights of all backpropagation synapses in the backpropagation connector.
/// </summary>
/// <param name="connector">
/// The backpropagation connector to initialize.
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>connector</c> is <c>null</c>
/// </exception>
public void Initialize(ConexionBackpropagation connector)
{
Helper.ValidateNotNull(connector, "connector");
int i = 0;
double[] normalized = Helper.GetRandomVector(connector.SynapseCount, 1d);
foreach (BackpropagationSynapse synapse in connector.Synapses)
{
synapse.Weight = normalized[i++];
}
}
public BackpropagationSynapse(
ActivationNeuron sourceNeuron, ActivationNeuron targetNeuron, ConexionBackpropagation parent)
{
Helper.ValidateNotNull(sourceNeuron, "sourceNeuron");
Helper.ValidateNotNull(targetNeuron, "targetNeuron");
Helper.ValidateNotNull(parent, "parent");
this.weight = 1f;
this.delta = 0f;
sourceNeuron.TargetSynapses.Add(this);
targetNeuron.SourceSynapses.Add(this);
this.sourceNeuron = sourceNeuron;
this.targetNeuron = targetNeuron;
this.parent = parent;
}
/// <summary>
/// Initializes weights of all backpropagation synapses in the backpropagation connector.
/// </summary>
/// <param name="connector">
/// The backpropagation connector to initialize.
/// </param>
/// <exception cref="ArgumentNullException">
/// If <c>connector</c> is <c>null</c>
/// </exception>
public void Initialize(ConexionBackpropagation connector)
{
Helper.ValidateNotNull(connector, "connector");
double nGuyenWidrowFactor = NGuyenWidrowFactor(
connector.SourceLayer.NeuronCount, connector.TargetLayer.NeuronCount);
int synapsesPerNeuron = connector.SynapseCount / connector.TargetLayer.NeuronCount;
foreach (INeuron neuron in connector.TargetLayer.Neurons)
{
int i = 0;
double[] normalizedVector = Helper.GetRandomVector(synapsesPerNeuron, nGuyenWidrowFactor);
foreach (BackpropagationSynapse synapse in connector.GetSourceSynapses(neuron))
{
synapse.Weight = normalizedVector[i++];
}
}
}
