/// <summary>
/// This receives an input signal from the input axon. It then
/// initializes the set of missing inputs (if necessary) with the
/// ids of the input axons. If the axon is one of the axons that
/// has not sent its signal, it is removed from the set of
/// missing axons and the input value is stored. If the size of the
/// missing input set drops to zero, the output value is calculate,
/// and the neuron is fired.
/// </summary>
/// <param name="firingAxon">The axon sending signal</param>
/// <param name="val">The value firing into this neuron</param>
public virtual void ReceiveSignal(Axon firingAxon, double val)
{
if (missingInput == null)
{
missingInput = new Dictionary <Guid, Guid>();
foreach (Guid id in inputAxonIds)
{
missingInput[id] = id;
}
//missingInput.AddRange(inputAxonIds);
}
if (missingInput[firingAxon.Id] != null)
{
inputs[inputAxonIds.IndexOf(firingAxon.Id)] = val;
//inputs[(int)(inputAxonIndexes[firingAxon.Id])] = val;
missingInput.Remove(firingAxon.Id);
}
if (missingInput.Count == 0)
{
rawValue = DotProduct(inputs, Weights);
outputValue = activation.Activation(rawValue);
FireNeuron();
missingInput = null;
}
}
public override float GetValue()
{
float sum = 0;
foreach (Connection c in connections)
{
sum += c.GetValue();
}
value = activationFunction.Activation(sum);
return(value);
}
public override float GetValue()
{
return(activationFunction.Activation(value));
}
