public void CreateInputLayerTest()
{
NeuronNetwork net = new NeuronNetwork();
NeuronLayer layerTest = new NeuronLayer();
List<double> signal = new List<double>();
signal.AddRange(new double[] { 2, 5 });
net.SetSignal(signal);
net.CreateInputLayer(2);
}
public void SetGetSignalInNetworkTest()
{
NeuronNetwork net = new NeuronNetwork();
Assert.IsNotNull(net);
List<double> signal = new List<double>();
signal.AddRange(new double[] { 1, 5, 9 });
net.SetSignal(signal);
Assert.AreEqual(net.GetSignal(), signal);
}
public Synapse InitializeWeight(NeuronNetwork net)
{
Random rand = new Random();
foreach (Neuron neuron in net.inputLayer.neurons)
{
for(int j=0; j<net.inputLayer.neurons.Count; j++)
{
neuron.inputs[j].SetWeight(rand.NextDouble());
}
}
return new Synapse();
}
