/// <summary>
/// Calculates the layer data.
/// </summary>
public void Calculate()
{
double sum = 0;
foreach (var nit in this.Neurons)
{
foreach (var cit in nit.Connections)
{
if (cit == nit.Connections[0])
{
sum = this.Weights[(int)cit.WeightIndex].Value;
}
else
{
if (this.previousLayer is null)
{
continue;
}
sum += this.Weights[(int)cit.WeightIndex].Value
* this.previousLayer.Neurons[(int)cit.NeuronIndex].Output;
}
}
nit.Output = SigmoidFunction.Sigmoid(sum);
}
}
public virtual void Update()
{
Output = SigmoidFunction.Sigmoid(Activation - Bias);
Activation = 0;
foreach (var connection in Connections)
{
connection.OutputToTarget();
}
}
public override void Update()
{
Output = SigmoidFunction.Sigmoid(Activation - Bias);
Activation = 0;
}
