private void InitializeConnections(int inputDimension)
{
for (var x = 0; x < _width; x++)
{
Parallel.For(0, _height,
y => { _lattice[x, y] = new Neuron.Neuron(inputDimension)
{
X = x, Y = y
}; });
}
}
public void Constructor_ActivationFunctionInputFunction_NeuronInitialized()
{
var activationFunction = new Mock <IActivationFunction>();
var inputFunction = new Mock <IInputFunction>();
var neuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
Assert.IsNotNull(neuron);
Assert.AreNotEqual(Guid.Empty, neuron.Id);
Assert.IsNotNull(neuron.Inputs);
Assert.IsNotNull(neuron.Outputs);
}
public void AddInputSynapse_SynapsePassed_ConnectionCreated()
{
var activationFunction = new Mock <IActivationFunction>();
var inputFunction = new Mock <IInputFunction>();
var neuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputSynapse(0.11);
Assert.AreEqual(1, neuron.Inputs.Count);
Assert.AreEqual(1, neuron.Inputs.First().Weight);
Assert.AreEqual(0.11, neuron.Inputs.First().GetOutput());
}
public void AddOutput_NeuronPassed_ConnectionCreated()
{
var activationFunction = new Mock <IActivationFunction>();
var inputFunction = new Mock <IInputFunction>();
var neuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
var outputNeuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddOutputNeuron(outputNeuron);
Assert.AreEqual(1, neuron.Outputs.Count);
}
public void CalculateOutput_MockingFunctions_OutputReturned()
{
var activationFunction = new Mock <IActivationFunction>();
activationFunction.Setup(x => x.CalculateOutput(It.IsAny <double>())).Returns(111);
var inputFunction = new Mock <IInputFunction>();
inputFunction.Setup(x => x.CalculateInput(It.IsAny <List <ISynapse> >())).Returns(23);
var neuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
Assert.AreEqual(111, neuron.CalculateOutput());
}
public void AddInputSynapse_SynapseAdded_NumberOdSynapsesIncreased()
{
var activationFunction = new Mock <IActivationFunction>();
activationFunction.Setup(x => x.CalculateOutput(It.IsAny <double>())).Returns(111);
var inputFunction = new Mock <IInputFunction>();
inputFunction.Setup(x => x.CalculateInput(It.IsAny <List <ISynapse> >())).Returns(23);
var neuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputSynapse(0);
Assert.AreEqual(1, neuron.Inputs.Count);
}
public void PushInputValueToInput_SendingValueToInput_ProperValueOnInputSet()
{
var activationFunction = new Mock <IActivationFunction>();
activationFunction.Setup(x => x.CalculateOutput(It.IsAny <double>())).Returns(111);
var inputFunction = new Mock <IInputFunction>();
inputFunction.Setup(x => x.CalculateInput(It.IsAny <List <ISynapse> >())).Returns(23);
var neuron = new Neuron.Neuron(activationFunction.Object, inputFunction.Object);
neuron.AddInputSynapse(0);
neuron.PushValueOnInput(1);
Assert.AreEqual(1, neuron.Inputs.First().GetOutput());
}
