/// <summary>
/// Computes output value of neuron.
/// </summary>
///
/// <param name="input">An input vector.</param>
///
/// <returns>Returns the neuron's output value for the given input.</returns>
///
public override double Compute(double[] input)
{
double sum = threshold;
for (int i = 0; i < weights.Length; i++)
{
sum += weights[i] * input[i];
}
double output = function.Function(sum);
this.output = output;
return(output);
}
/// <summary>
/// Samples the neuron output considering
/// the stochastic activation function.
/// </summary>
///
/// <param name="input">An input vector.</param>
///
/// <returns>A possible output for the neuron drawn
/// from the neuron's stochastic function.</returns>
///
public double Generate(double[] input)
{
double sum = threshold;
for (int i = 0; i < weights.Length; i++)
{
sum += weights[i] * input[i];
}
double output = function.Function(sum);
double sample = function.Generate2(output);
this.output = output;
this.sample = sample;
return(sample);
}
