public void PropagateSignalAfterWeightsChanged()
{
const int inputs = 2;
var hidden = new[] { 2, 2 };
const int outputs = 2;
Func<double, double> activation = x => x;
var net = new SimpleFuzzyNet(inputs, hidden, () => new RealNumber(0.0), activation, outputs);
var input = new List<IFuzzyNumber>
{
new RealNumber(1.0),
new RealNumber(2.0),
};
var weights = new Vector(new IFuzzyNumber[]
{
//output layer
//first neuron
new RealNumber(2.0),
new RealNumber(2.0),
//second neuron
new RealNumber(4.0),
new RealNumber(2.0),
//hidden 1
new RealNumber(1.0),
new RealNumber(-1.5),
new RealNumber(2.0),
new RealNumber(1.0),
//hidden 2
new RealNumber(-1.0),
new RealNumber(-1.0),
new RealNumber(2.0),
new RealNumber(-1.0),
});
net.SetWeights(weights);
var output = net.Propagate(input);
var expected = new List<IFuzzyNumber>
{
new RealNumber(-20.0),
new RealNumber(-24.0),
};
int i = 0;
foreach (var expectedNumber in expected)
{
Assert.That(output.ElementAt(i).GetMod().X, Is.EqualTo(expectedNumber.GetMod().X));
i++;
}
}
public void CorrectlySetWeightsVector()
{
const int inputs = 2;
var hidden = new[] { 2, 2 };
const int outputs = 2;
var net = new SimpleFuzzyNet(inputs, hidden, ()=>new RealNumber(0.0), outputNeuronsCount: outputs);
var weights = new Vector(new IFuzzyNumber[]
{
//output layer
//first neuron
new RealNumber(2.0),
new RealNumber(2.0),
//second neuron
new RealNumber(4.0),
new RealNumber(2.0),
//hidden 1
new RealNumber(1.0),
new RealNumber(-1.5),
new RealNumber(2.0),
new RealNumber(1.0),
//hidden 2
new RealNumber(-1.0),
new RealNumber(-1.0),
new RealNumber(2.0),
new RealNumber(-1.0),
});
//tuple: (layer, neuron, weight)
var expectedWeights = new Dictionary<Tuple<int, int, int>, IFuzzyNumber>();
for (int i = 0; i < weights.Length; i++)
{
expectedWeights.Add(new Tuple<int, int, int>(ToLayerIndex(i), ToNeuronIndex(i), ToWeightIndex(i)),
weights[i]);
}
net.SetWeights(weights);
int l = 0;
foreach (var layer in net.Layers)
{
layer.ForeachNeuron((i, neuron) =>
{
neuron.ForeachWeight((j, weight) =>
{
Assert.That(weight.Signal.GetMod().X,
Is.EqualTo(expectedWeights[new Tuple<int, int, int>(l, i, j)].GetMod().X));
});
});
l++;
}
}
