private void NeuronTest(double factor, bool expected)
{
// Arrange
var weightingFactors = Enumerable.Range(0, 12 * 47 + 48).ToList().Select(x => factor).ToArray();
var awariPits = new[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
var inputNeuron = new InputNeuron(0, weightingFactors);
// Act
inputNeuron.AcceptAwariPits(awariPits, 36);
// Assert
inputNeuron.Signal.Should().Be(expected);
}
private void LearningTest(double factor)
{
var pits = new[] { 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
var weightingFactors = Enumerable.Range(0, 12 * 47 + 48).ToList().Select(x => 0.5d).ToArray();
var neuron = new InputNeuron(0, weightingFactors);
neuron.AcceptAwariPits(pits, 47);
neuron.Learn(factor);
neuron.WeightingFactors[46].Should().Be(0.5d + factor);
neuron.WeightingFactors[47].Should().Be(0.5d - factor);
neuron.WeightingFactors[48].Should().Be(0.5d + factor);
neuron.WeightingFactors[49].Should().Be(0.5d - factor);
}