public void AlternativeTwoToManyAdditionNeuronInLayerUsingBuilders(decimal val1, decimal val2, int neuronCount)
{
// Arrange
var outputLayer = new OutputLayerBuilder<decimal>
{
NumberOfNeurons = 1
}.Build();
var fixedWrappedOutputBuilder = new FixedValueBuilder<IEnumerable<IObserver<decimal>>>
{
Value = outputLayer
};
var hiddenLayerBuilder = new WrappingHiddenLayerBuilder<decimal, decimal>
{
FunctionSource = new ByDefaultConstructorBuilder<DecimalSumFunction>(),
NextLayer = fixedWrappedOutputBuilder
};
var inputLayerBuilder = new SimpleHiddenLayerBuilder<decimal, decimal>
{
NumberOfNeurons = 2,
NextLayerBuilder = hiddenLayerBuilder,
FunctionSource = new ByDefaultConstructorBuilder<DecimalSumFunction>()
};
var sut = inputLayerBuilder.Build().ToList();
// Act
sut[0].OnNext(new decimal[]
{
val1
});
sut[1].OnNext(new decimal[]
{
val2
});
// Assert
var result = fixedWrappedOutputBuilder.Value.Cast<ValueStoringNeuron<decimal>>().Single().LastValue;
result.Should().Be(val1 + val2);
}
public void AlternativeSingleAdditionNeuronInLayerUsingBuilders(decimal val1, decimal val2)
{
// Arrange
var outputLayer = new OutputLayerBuilder<decimal>
{
NumberOfNeurons = 1
}.Build();
var fixedWrappedOutputBuilder = new FixedValueBuilder<IEnumerable<IObserver<decimal>>>
{
Value = outputLayer
};
var layerBuilder = new WrappingHiddenLayerBuilder<decimal, decimal>
{
FunctionSource = new ByDefaultConstructorBuilder<DecimalSumFunction>(),
NextLayer = fixedWrappedOutputBuilder
};
var sut = new CompositeObserver<IEnumerable<decimal>>(layerBuilder.Build());
// Act
sut.OnNext(new decimal[] { val1, val2 });
// Assert
var result = fixedWrappedOutputBuilder.Value.Cast<ValueStoringNeuron<decimal>>().Single().LastValue;
result.Should().Be(val1 + val2);
}
