/// <summary>
/// Calculates the Output for the Neuron given the Input.
/// </summary>
/// <param name="passedInput">The Input for the Neuron.</param>
/// <returns>The Output of the Neuron.</returns>
public INeuronOutput CalculateOutput(INeuronInputs passedInputs)
{
float total = 0.0f;
IEnumerator <INeuronWeight> neuronWeightsEnumerator = this.Weights.Weights;
IEnumerator <INeuronInput> neuronInputsEnumerator = passedInputs.Values;
while (neuronWeightsEnumerator.MoveNext() && neuronInputsEnumerator.MoveNext())
{
INeuronWeight currentWeight = neuronWeightsEnumerator.Current;
INeuronInput currentInput = neuronInputsEnumerator.Current;
float tempValue = currentWeight.Value * currentInput.Value;
total += tempValue;
}
float computedResult = this.ActivationFunction.CalculateOutput(total, this.Threshold);
INeuronOutput result = new NeuronOutput(computedResult);
return(result);
}
public Dendrite(INeuronSignal <double> input, INeuronWeight <double> weight) :
base(input, weight)
{
}
protected AbstractDendrite(INeuronSignal <TNeuronDataType> output, INeuronWeight <TNeuronDataType> weight)
{
this.Output = output;
this.DendriteWeight = weight;
}
