private void AddSynapse(Neuron inputNeuron)
{
var synapse = new Synapse(inputNeuron, this);
inputNeuron.OutputSynapses.Add(synapse);
InputSynapses.Add(synapse);
}
/// <summary>
/// Connects to input (left) layer
/// </summary>
/// <param name="inputNeuron">Neuron form left(previous) layer</param>
/// <param name="weight">Value of synapse between input and current neuron</param>
public void ConnectToInputNeuron(Neuron inputNeuron, float weight)
{
var synapse = new Synapse(inputNeuron, this, weight);
InputSynapses.Add(synapse);
inputNeuron.OutputSynapses.Add(synapse);
}
public Neuron(IEnumerable <Neuron> inputNeurons) : this()
{
foreach (var inputNeuron in inputNeurons)
{
var synapse = new Synapse(inputNeuron, this);
inputNeuron.OutputSynapses.Add(synapse);
InputSynapses.Add(synapse);
}
}
//Tworzenie neuronu wraz z podłączeniem neuronów wejściowych
public Neuron(List <Neuron> inputNeurons, IActivationFunction activationFunction) : this(activationFunction)
{
foreach (var inputNeuron in inputNeurons)
{
var synapse = new Synapse(inputNeuron, this);
inputNeuron.OutputSynapses.Add(synapse);
InputSynapses.Add(synapse);
}
}
public void Initialize(int numberInputs)
{
for (int i = 0; i < numberInputs; i++)
{
InputSynapses.Add(new Synapse(i + 1, this, Util.r.NextDouble()));
}
LearningRate = 1;
}
public Neuron(IEnumerable <Neuron> inputNeurons, Type activationFunctionType = null) : this(activationFunctionType)
{
foreach (var inputNeuron in inputNeurons)
{
var synapse = new Synapse(inputNeuron, this);
inputNeuron.OutputSynapses.Add(synapse);
InputSynapses.Add(synapse);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="Neuron"/> class.
/// </summary>
/// <param name="inputNeurons">The input neurons.</param>
public Neuron(IEnumerable <Neuron> inputNeurons) : this()
{
Ensure.That(inputNeurons).IsNotNull();
foreach (var inputNeuron in inputNeurons)
{
var synapse = new Synapse(inputNeuron, this);
inputNeuron?.OutputSynapses?.Add(synapse);
InputSynapses?.Add(synapse);
}
}
public Neuron(
IEnumerable <Neuron> inputNeurons,
Func <double, double> activationFunction,
Func <double, double> dActivationFunction
) : this(activationFunction, dActivationFunction)
{
foreach (var inputNeuron in inputNeurons)
{
InputSynapses.Add(new Synapse(inputNeuron, this));
inputNeuron.OutputSynapses.Add(new Synapse(inputNeuron, this));
}
}
public Neuron(NeuralNetwork NN, IEnumerable <Neuron> inputNeurons)
: this()
{
Network = NN;
foreach (var inputNeuron in inputNeurons)
{
var synapse = new Synapse(inputNeuron, this);
inputNeuron.OutputSynapses.Add(synapse);
InputSynapses.Add(synapse);
}
}
public void AddInput(Synapse input)
{
InputSynapses.Add(input);
}
