public void CalculateOutput_MultiLayer_CalculatesAndStoresValue()
{
var inputNeuron1 = new Neuron("inputNeuron1", 1);
var inputNeuron2 = new Neuron("inputNeuron2", 2);
var layer1Neuron1 = new Neuron("layer1Neuron1");
var layer1Neuron2 = new Neuron("layer1Neuron2");
var outNeuron1 = new Neuron("outNeuron1");
var outNeuron2 = new Neuron("outNeuron2");
layer1Neuron1.AddInputNeuron(inputNeuron1, .1m);
layer1Neuron1.AddInputNeuron(inputNeuron2, .2m);
layer1Neuron2.AddInputNeuron(inputNeuron1, .3m);
layer1Neuron2.AddInputNeuron(inputNeuron2, .4m);
outNeuron1.AddInputNeuron(layer1Neuron1, .5m);
outNeuron1.AddInputNeuron(layer1Neuron2, .6m);
outNeuron2.AddInputNeuron(layer1Neuron1, .7m);
outNeuron2.AddInputNeuron(layer1Neuron2, .8m);
Assert.That(outNeuron1.CalculateOutput(), Is.EqualTo(0.91m));
Assert.That(outNeuron2.CalculateOutput(), Is.EqualTo(1.23m));
}
public void CalculateOutput_HasAllInputs_CalculatesAndStoresValue()
{
var neuron = new Neuron();
neuron.AddInputNeuron(new Neuron(14), .5m);
neuron.AddInputNeuron(new Neuron(29), .25m);
neuron.AddInputNeuron(new Neuron(4), -.75m);
Assert.That(neuron.CalculateOutput(), Is.EqualTo(11.25m));
Assert.That(neuron.CalculateOutput(), Is.EqualTo(11.25m));
}
public void AddInput_NeuronPassed_ConnectionCreated()
{
var activationFunction = new Mock <IActivationFunction>();
var inputFunction = new Mock <IInputFunction>();
var neuron = new Neuron(activationFunction.Object, inputFunction.Object);
var inputNeuron = new Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputNeuron(inputNeuron);
Assert.AreEqual(1, neuron.Inputs.Count);
}
public void AddInputNeuron_NeuronPassed_InputProperlySet()
{
var neuron = new Neuron(false, 1.11);
var inputNeuron = new Mock <INeuron>();
var mockList = new List <IConnection>();
inputNeuron.SetupGet(x => x.Outputs).Returns(mockList);
neuron.AddInputNeuron(inputNeuron.Object, 3.33);
Assert.Equal(1, neuron.Inputs.Count);
Assert.Equal(inputNeuron.Object, neuron.Inputs[0].InputNeruon);
Assert.Equal(neuron, neuron.Inputs[0].OutputNeruon);
Assert.Equal(3.33, neuron.Inputs[0].Weight);
}
