public void And(bool val1, bool val2)
{
// Arrange
var boolTransformer = new BoolDecimalTransformer();
var receiver = new ValueStoringNeuron<bool>();
var perceptron = new OneToManyBufferingDecorator<decimal>(
new ManyInputNeuron<decimal, decimal>(
new DecimalSumFunction(),
new ActivationNeuron<decimal, decimal>(
new DecimalThresholdFunction
{
Threshold = 2M
}, new ActivationNeuron<decimal, bool>(
boolTransformer, receiver)))
, 2);
var leftNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
perceptron);
var rightNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
perceptron);
// Act
leftNeuron.OnNext(val1);
rightNeuron.OnNext(val2);
// Assert
var result = receiver.LastValue;
var expected = val1 && val2;
result.Should().Be(expected);
}
public void Xor(bool val1, bool val2)
{
// Arrange
var boolTransformer = new BoolDecimalTransformer();
var receiver = new ValueStoringNeuron<bool>();
var wrappedReceiver = new OneToManyBufferingDecorator<decimal>(
new ManyInputNeuron<decimal, decimal>(
new DecimalSumFunction(),
new ActivationNeuron<decimal, decimal>(
new DecimalThresholdFunction
{
Threshold = 0.5M
}, new ActivationNeuron<decimal, bool>(
boolTransformer, receiver)))
, 3);
var pivotNeuron = new OneToManyBufferingDecorator<decimal>(
new ManyInputNeuron<decimal, decimal>(
new DecimalSumFunction(),
new ActivationNeuron<decimal, decimal>(
new DecimalThresholdFunction
{
Threshold = 1.5M
},
new DecimalWeight(wrappedReceiver, -2M)))
, 2);
var leftNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
new CompositeObserver<decimal>(
new DecimalWeight(wrappedReceiver, 1),
new DecimalWeight(pivotNeuron, 1)));
var rightNeuron = new ActivationNeuron<bool, decimal>(
boolTransformer,
new CompositeObserver<decimal>(
new DecimalWeight(wrappedReceiver, 1),
new DecimalWeight(pivotNeuron, 1)));
// Act
leftNeuron.OnNext(val1);
rightNeuron.OnNext(val2);
// Assert
var result = receiver.LastValue;
var expected = val1 ^ val2;
result.Should().Be(expected);
}
public void SingleAdditionNeuronInLayer(decimal val1, decimal val2)
{
// Arrange
var receiver = new ValueStoringNeuron<decimal>();
var sut = new OnNextSplittingObserverDecorator<decimal>(new CompositeObserver<decimal>(new IObserver<decimal>[]
{
new DelayedActivationNeuron<decimal, decimal>(new DecimalSumFunction(), receiver)
}));
// Act
sut.OnNext(new decimal[] { val1, val2 });
// Assert
var result = receiver.LastValue;
result.Should().Be(val1 + val2);
}
public void SimpleAdditionNeuron(decimal val1, decimal val2)
{
// Arrange
var receiver = new ValueStoringNeuron<decimal>();
var sut = new CompositeObserver<decimal>(new IObserver<decimal>[]
{
new DelayedActivationNeuron<decimal, decimal>(new DecimalSumFunction(), receiver)
});
// Act
sut.OnNext(val1);
sut.OnNext(val2);
sut.OnCompleted();
// Assert
var result = receiver.LastValue;
result.Should().Be(val1 + val2);
}
