public void EvaluateLayeredNetworkWithThreeLayersInputZeroOutputZero()
{
NeuronLayeredNetwork network = new NeuronLayeredNetwork(new int[] { 4, 5, 3 });
var result = network.Evaluate(new double[] { 0.0, 0.0, 0.0, 0.0 });
Assert.IsNotNull(result);
Assert.AreEqual(3, result.Count);
Assert.IsTrue(result.All(x => x == 0));
}
public void EvaluateLayeredNetworkWithThreeLayersInputNonZero()
{
NeuronLayeredNetwork network = new NeuronLayeredNetwork(new int[] { 4, 5, 10 });
var result = network.Evaluate(new double[] { 100.0, 100.0, 100.0, 100.0 });
Assert.IsNotNull(result);
Assert.AreEqual(10, result.Count);
Assert.IsTrue(result.Any(x => x != 0));
}
public void CreateLayeredNetworkWithThreeLayers()
{
NeuronLayeredNetwork network = new NeuronLayeredNetwork(new int[] { 4, 5, 3 });
Assert.AreEqual(3, network.NLayers);
Assert.IsNotNull(network.GetLayer(0));
Assert.AreEqual(4, network.GetLayer(0).Count);
Assert.IsNotNull(network.GetLayer(1));
Assert.AreEqual(5, network.GetLayer(1).Count);
Assert.IsNotNull(network.GetLayer(2));
Assert.AreEqual(3, network.GetLayer(2).Count);
}
