/// <summary>
/// Calculate output value of the neuron.
/// </summary>
/// <returns>
/// Output of the neuron.
/// </returns>
public double CalculateOutput()
{
double inputSum = 0;
foreach (var synapse in this.Inputs)
{
inputSum += synapse.Weight * synapse.Output;
}
// Scale the output
return(_activationFunction.CalculateOutput(inputSum));
}
public override double Compute()
{
double sum = 0;
if ((Inputs == null) || (Inputs.Count == 0))
{
throw new ArgumentException();
}
Inputs.ForEach(Synapse => {
sum += Synapse.Weight * Synapse.InputValue;
});
OutputValue = ActFunction.CalculateOutput(sum);
return(OutputValue);
}
/// <summary>
/// Connect two neurons.
/// This neuron is the input neuron of the connection.
/// </summary>
/// <param name="outputNeuron">Neuron that will be output neuron of the newly created connection.
/// </param>
//public void AddOutputNeuron(INeuron outputNeuron)
//{
// var synapse = new Synapse(this, outputNeuron, _weight);
// Outputs.Add(synapse);
// outputNeuron.Inputs.Add(synapse);
//}
/// <summary>
/// Calculate output value of the neuron.
/// </summary>
/// <returns>
/// Output of the neuron.
/// </returns>
public double CalculateOutput()
{
return(_activationFunction.CalculateOutput(_inputFunction.CalculateInput(this.Inputs)));
}
public virtual double CalculateOutput()
{
//apply activation
return(activationFunction.CalculateOutput(inputFunction.CalculateInput(Inputs)));
}