public void TestAdder()
{
NeatBrainGenotype test = new NeatBrainGenotype();
test.AddNamedNode("input1", NodeType.INPUT, ActivationFunctionType.RELU);
test.AddNamedNode("hidden1", NodeType.HIDDEN, ActivationFunctionType.RELU);
test.AddNamedNode("output1", NodeType.OUTPUT, ActivationFunctionType.RELU);
test.ConnectionGenes.Add(new ConnectionGene(1, 0, 1, 1)); // Input to hidden
test.ConnectionGenes.Add(new ConnectionGene(2, 1, 1, 1, true, true)); // Hidden to hidden (recurrent)
test.ConnectionGenes.Add(new ConnectionGene(3, 1, 2, 1)); //# Hidden to output
var network = new NeatBrainPhenotype(test);
network.SetInput("input1", 1.0f);
Assert.AreEqual(1.0f, network.Get("input1"));
network.Calculate();
Assert.AreEqual(0, network.Get("output1"));
network.SetInput("input1", 2.0f);
network.Calculate();
Assert.AreEqual(1, network.Get("output1"));
network.SetInput("input1", 10.0f);
network.Calculate();
Assert.AreEqual(3, network.Get("output1"));
Assert.AreEqual(13, network.Get("hidden1"));
Assert.AreEqual(10, network.Get("input1"));
}
public void TestRecurrentFromOutput()
{
NeatBrainGenotype test = new NeatBrainGenotype();
test.AddNamedNode("input1", NodeType.INPUT, ActivationFunctionType.RELU);
test.AddNamedNode("input2", NodeType.INPUT, ActivationFunctionType.RELU);
test.AddNamedNode("input3", NodeType.INPUT, ActivationFunctionType.RELU);
// Hidden genes
test.NodeGenes.Add(new NodeGene(3, NodeType.HIDDEN, ActivationFunctionType.RELU));
test.NodeGenes.Add(new NodeGene(4, NodeType.HIDDEN, ActivationFunctionType.RELU));
// Output genes
test.AddNamedNode("output", NodeType.OUTPUT, ActivationFunctionType.RELU);
test.NodeGenes.Add(new NodeGene(5, NodeType.OUTPUT, ActivationFunctionType.RELU));
// Input connections
test.ConnectionGenes.Add(new ConnectionGene(1, 0, 3, 1));
test.ConnectionGenes.Add(new ConnectionGene(2, 1, 3, 1));
test.ConnectionGenes.Add(new ConnectionGene(3, 1, 4, 1));
test.ConnectionGenes.Add(new ConnectionGene(4, 2, 4, 1));
// Hidden connection
test.ConnectionGenes.Add(new ConnectionGene(5, 3, 4, 1));
// The recurrent connection from 4 to 3
test.ConnectionGenes.Add(new ConnectionGene(6, 4, 3, 1, true, true));
// Hidden to output
test.ConnectionGenes.Add(new ConnectionGene(7, 3, 5, 1));
test.ConnectionGenes.Add(new ConnectionGene(8, 4, 5, 1));
// The recurrent connection from 5 to 3
test.ConnectionGenes.Add(new ConnectionGene(9, 5, 3, -1));
var network = new NeatBrainPhenotype(test);
network.SetInput("input1", 1.0f);
network.SetInput("input2", 2.0f);
network.SetInput("input3", 3.0f);
network.Calculate();
Assert.AreEqual(0.0d, network.Get(5));
network.SetInput("input1", 1.0f);
network.SetInput("input2", 2.0f);
network.SetInput("input3", 3.0f);
network.Calculate();
Assert.AreEqual(8.0d, network.Get(5));
network.SetInput("input1", 1.0f);
network.SetInput("input2", 2.0f);
network.SetInput("input3", 3.0f);
network.Calculate();
Assert.AreEqual(16.0d, network.Get(5));
}
