public void ContextAdaptationStep_AdjustMin_MinusOne()
{
var neuron = new NeoFuzzyNeuron(0, 1, 2);
neuron.ContextAdaptationStep(-1);
Assert.AreEqual(-1, neuron.XMin);
}
public void ContextAdaptationStep_AdjustMax_10()
{
var neuron = new NeoFuzzyNeuron(0, 1, 2, alpha: 1);
neuron.UpdateQ(0, 0.5, 2);
Assert.AreEqual(-1, neuron.Q[0]);
}
public void ContextAdaptationStep_AdjustMax_10()
{
var neuron = new NeoFuzzyNeuron(0, 1, 2);
neuron.ContextAdaptationStep(10);
Assert.AreEqual(10, neuron.XMax);
}
public void ModalValuesAdaptation_AdjustActiveFunction()
{
var neuron = new NeoFuzzyNeuron(0, 2, 3, beta: 1);
neuron.ModalValuesAdaptation(0.1, 1);
Assert.AreEqual(0.1, neuron.B[1], 1e-5);
}
public void MembershipFunctionsCreationStep_AddNewTermInternal_Right()
{
var neuron = new NeoFuzzyNeuron(xmin: 0, xmax: 2, m: 3, maxM: 10);
neuron.MembershipFunctionsCreationStep(2, 0, 0.8, 50, 0, 0);
Assert.AreEqual(4, neuron.Size);
CollectionAssert.IsOrdered(neuron.B);
Assert.AreEqual(2, neuron.B[^ 1]);
public void ModalValuesAdaptation_DoNotTouchBorder(int activeFunc)
{
var neuron = new NeoFuzzyNeuron(0, 2, 3, beta: 1);
neuron.ModalValuesAdaptation(double.MaxValue, activeFunc);
Assert.AreEqual(0, neuron.XMin);
Assert.AreEqual(2, neuron.XMax);
}
public void MembershipFunctionsElimination_RemoveCenter()
{
var neuron = new NeoFuzzyNeuron(xmin: 0, xmax: 2, m: 3, maxM: 10, ageLimit: 1);
neuron.MembershipFunctionsElimination(0, 2);
Assert.AreEqual(2, neuron.Size);
CollectionAssert.IsOrdered(neuron.B);
}
public void Setup()
{
_neuron = new NeoFuzzyNeuron(new[] { 0.0, 1.0, 2.0, 3.0 }, new[] { 1.0, 0, 0, 2.0 });
}
