/// <summary>
/// Initalizes an ANeuron.
/// Notes:
/// -Initalizes Threshold to a Random Float.
/// </summary>
/// <param name="passedNumberOfWeights">The Number of Weights for the Neuron.</param>
/// <param name="passedActivationFunction">The Activation Function for the Neuron</param>
public ANeuron(uint passedNumberOfWeights, IActivationFunction passedActivationFunction)
{
this._Weights = GenerateWeights(passedNumberOfWeights);
this._ActivationFunction = passedActivationFunction;
InitalizeWeights();
this._Threshold = new NeuronThreshold(Config.RANDOM.NextFloat());
}
/// Initalizes an ANeuron.
/// </summary>
/// <param name="passedNumberOfWeights">The Number of Weights for the Neuron.</param>
/// <param name="passedThreshold">The Threshold for the Neuron.</param>
/// <param name="passedActivationFunction">The Activation Function for the Neuron</param>
public ANeuron(uint passedNumberOfWeights, float passedThreshold, IActivationFunction passedActivationFunction)
{
this._Weights = GenerateWeights(passedNumberOfWeights);
this._ActivationFunction = passedActivationFunction;
InitalizeWeights();
this._Threshold = passedThreshold;
}
public void SetNeuronLayerThresholds(INeuronLayerNeuronThresholds passedNeuronThresholds)
{
IEnumerator <INeuronThreshold> neuronThresholdsEnumerator = passedNeuronThresholds.Values;
uint neuronIndex = 0;
while (neuronThresholdsEnumerator.MoveNext())
{
INeuronThreshold current = neuronThresholdsEnumerator.Current;
INeuron neuron = this._Neurons[(int)neuronIndex++];
neuron.Threshold = current;
}
}
/// <summary>
/// Calculates the Output for a given Input using the Sigmoid Function.
/// </summary>
/// <param name="passedInput">The Input.</param>
/// <param name="passedThreshold">The Threshold.</param>
/// <returns>The Output for the Sigmoid Function.</returns>
public float CalculateOutput(float passedInput, INeuronThreshold passedThreshold)
{
float result = (float)(1 / (1 + Math.Exp((-passedInput) / passedThreshold.Value)));
return(result);
}
/// <summary>
/// Calculates the Output for a given Input using the Sigmoid Function.
/// </summary>
/// <param name="passedInput">The Input.</param>
/// <param name="passedThreshold">The Threshold.</param>
/// <returns>The Output for the Sigmoid Function.</returns>
public INeuronOutput CalculateOutput(INeuronActivationFunctionInput passedInput, INeuronThreshold passedThreshold)
{
float resultValue = (float)(1 / (1 + Math.Exp((-passedInput.Value) / passedThreshold.Value)));
INeuronOutput result = new NeuronOutput(resultValue);
return(result);
}
/// <summary>
/// Calculates the Output for a given Input using the Step Function.
/// </summary>
/// <param name="passedInput">The Input.</param>
/// <param name="passedThreshold">The Threshold.</param>
/// <returns>The Output for the Step Function.</returns>
public float CalculateOutput(float passedInput, INeuronThreshold passedThreshold)
{
float result = (passedInput >= passedThreshold.Value) ? 1 : 0;
return(result);
}
public Neuron(INeuronWeights passedNeuronWeights, INeuronThreshold passedThreshold, INeuronActivationFunction passedActivationFunction) : base(passedNeuronWeights, passedThreshold, passedActivationFunction)
{
}
public Neuron(uint passedNumberOfWeights, INeuronThreshold passedThreshold, INeuronActivationFunction passedActivationFunction) : base(passedNumberOfWeights, passedThreshold, passedActivationFunction)
{
}
/// <summary>
/// Calculates the Output for a given Input using the Step Function.
/// </summary>
/// <param name="passedInput">The Input.</param>
/// <param name="passedThreshold">The Threshold.</param>
/// <returns>The Output for the Step Function.</returns>
public INeuronOutput CalculateOutput(INeuronActivationFunctionInput passedInput, INeuronThreshold passedThreshold)
{
float resultValue = (passedInput.Value >= passedThreshold.Value) ? 1 : 0;
INeuronOutput result = new NeuronOutput(resultValue);
return(result);
}
public ANeuron(INeuronWeights passedNeuronWeights, INeuronThreshold passedThreshold, INeuronActivationFunction passedActivationFunction)
{
this.Weights = passedNeuronWeights;
this._ActivationFunction = passedActivationFunction;
this.Threshold = passedThreshold;
}
public ANeuron(uint passedNumberOfWeights, INeuronThreshold passedThreshold, INeuronActivationFunction passedActivationFunction)
{
this._Weights = GenerateWeights(passedNumberOfWeights);
this._ActivationFunction = passedActivationFunction;
this._Threshold = passedThreshold;
}
