public Perceptron(IEnumerable <ITraversableUnitReadOnly <IUnit, IConnection, IUnitActivation <IUnit> > > inputUnits)
{
if (inputUnits.Any() == false)
{
throw new ArgumentException("Input unit layer cannot be empty.");
}
Network = new LayeredUnitCollection <IUnit, IConnection, IUnitActivation <IUnit> >(inputUnits).GetLayeredUnits();
}
public void LayeredUnitsSeparatesUnitsIntoLayersCorrectly()
{
var inputs = _network.GetInputs();
var layeredUnitCollection = new LayeredUnitCollection <IUnit, IConnection, IUnitActivation <IUnit> >(inputs).GetLayeredUnits();
layeredUnitCollection.ElementAt(0).Should().ContainInOrder(new List <object>
{
_network.Input1,
_network.Input2,
_network.InputUnorthodox,
});
layeredUnitCollection.ElementAt(1).Should().ContainInOrder(new List <object>
{
_network.Hidden1,
_network.Hidden2,
});
layeredUnitCollection.ElementAt(2).Should().ContainInOrder(new List <object>
{
_network.Output1,
_network.Output2,
});
}
public PerceptronUnderTraining(IEnumerable <ITraversableUnitReadOnly <IUnitUnderTraining, IConnectionUnderTraining, IUnitActivationTraining> > inputUnits, IPerceptron <IUnit, IConnection, IUnitActivation <IUnit> > perceptron = null)
{
_perceptron = perceptron ?? new Perceptron(inputUnits);
Network = new LayeredUnitCollection <IUnitUnderTraining, IConnectionUnderTraining, IUnitActivationTraining>(inputUnits).GetLayeredUnits();
}
