public void TestForward()
{
var parameterGenerator = new ActionParameterGenerator(() => 0.1, () => 1.0);
var neuronFactor = new NeuronFactory(parameterGenerator);
var synapseFactory = new SynapseFactory(parameterGenerator);
var n = NetworkFactory.CreateMultilayerPerceptron(new[] { 2, 2, 1 }, ActivationFunction.Sigmoid,
ActivationFunction.Identity, null, neuronFactor, synapseFactory);
var x = new Vector(3, 5);
Assert.IsTrue(Math.Abs(n.Compute(x)[0] - 2.0993931) < 0.001);
}
public void TestBack()
{
var parameterGenerator = new ActionParameterGenerator(() => 0.1, () => 1.0);
var neuronFactor = new NeuronFactory(parameterGenerator);
var synapseFactory = new SynapseFactory(parameterGenerator);
var network = NetworkFactory.CreateMultilayerPerceptron(new[] { 2, 2, 1, 1 }, ActivationFunction.Sigmoid,
ActivationFunction.Identity, null, neuronFactor, synapseFactory);
var networkTrainer = new NetworkTrainer(network);
var x = new Vector(3, 5);
network.Compute(x);
networkTrainer.Back(42.0);
var n = network.OutputLayer[0].Inputs[0].Source;
Console.WriteLine(n.InputDerivative);
Console.WriteLine(n.OutputDerivative);
Console.WriteLine(n.InputDerivativeCount);
Assert.IsTrue(Math.Abs(-3.987764 - n.InputDerivative) < 0.01);
Assert.IsTrue(Math.Abs(-41.009155 - n.OutputDerivative) < 0.01);
Assert.AreEqual(1, n.InputDerivativeCount);
}
