public NetworkBuilder(IDiagram diagram, INeuronFactory factory, ISettingsProvider settings, ILogAggregator logAggregator) { _diagram = diagram; _factory = factory; _settings = settings; _logAggregator = logAggregator; }
private NeuralNetworkFactory(ISomaFactory somaFactory, IAxonFactory axonFactory, ISynapseFactory hiddenSynapseFactory, ISynapseFactory inputOutputSynapseFactory, IWeightInitializer biasInitializer, INeuronFactory neuronFactory) { _somaFactory = somaFactory; _axonFactory = axonFactory; _hiddenSynapseFactory = hiddenSynapseFactory; _inputOutputSynapseFactory = inputOutputSynapseFactory; _biasInitiliazer = biasInitializer; _neuronFactory = neuronFactory; }
public FTPerceptron(INeuronFactory neuronFactory) : base(neuronFactory) { // this is the unit input which will handle any bias var simpleInput = new Input(1.0); // dendrite has weight var dendrite = new Dendrite(); // connect to the input dendrite.SetConnection(simpleInput); // connect to the neuron _neuron.Connect(dendrite); }
public Layer(INeuronFactory factory) : base(typeof(NeuronBase)) { _neuronFactory = factory; _compactInputsView = true; _compactOutputsView = true; _neuronsCount = 1; // each layer has one neuron by defeault if (_neuronFactory.PropertyProviders.TryGetValue(this.GetType(), out IPropertiesProvider provider) && provider is LayerProperties layerProperties) { _propertiesProvider = layerProperties; } this.Properties = this; }
public INeuralNetworkFactory BuildBackpropagationNetworkFactory(IWeightInitializer weightInitializer, ISomaFactory somaFactory, IActivationFunctionDerivative activationFunctionDerivative, IActivationFunction inputActivationFunction, INeuronFactory neuronFactory) { var axonFactory = BackpropagationAxonFactory.GetInstance(activationFunctionDerivative); var hiddenSynapseFactory = DecoratedSynapseFactory.GetInstance(weightInitializer, AxonFactory.GetInstance(activationFunctionDerivative)); var inputSynapseFactory = DecoratedSynapseFactory.GetInstance(new ConstantWeightInitializer(1.0), AxonFactory.GetInstance(inputActivationFunction)); var decoratedNeuronFactory = BackpropagationNeuronFactory.GetInstance(neuronFactory); INeuralNetworkFactory factory = NeuralNetworkFactory.GetInstance(somaFactory, axonFactory, hiddenSynapseFactory, inputSynapseFactory, weightInitializer, decoratedNeuronFactory); var backPropNetworkFactory = new BackpropagationNetworkFactoryDecorator(factory); return(backPropNetworkFactory); }
public static NeuralNetworkFactory GetInstance(ISomaFactory somaFactory, IAxonFactory axonFactory, ISynapseFactory hiddenSynapseFactory, ISynapseFactory inputOutputSynapseFactory, IWeightInitializer biasInitializer, INeuronFactory neuronFactory) { return(new NeuralNetworkFactory(somaFactory, axonFactory, hiddenSynapseFactory, inputOutputSynapseFactory, biasInitializer, neuronFactory)); }
public static INeuronFactory GetInstance(INeuronFactory neuronFactory) { return(new BackpropagationNeuronFactory(neuronFactory)); }
private BackpropagationNeuronFactory(INeuronFactory neuronFactory) { _neuronFactory = neuronFactory; }
public Layer(double layerBias, int previousLayerOutputCount, int neuronNumber, INeuronFactory factory, string name = "") { Bias = layerBias; Name = name; for (int neuronIndex = 0; neuronIndex < neuronNumber; ++neuronIndex) { _neurons.Add(factory.ConstructNeuron(previousLayerOutputCount)); } }
public CsvSensorLayer(INeuronFactory factory) : base(factory) { this.NeuronType = typeof(Sensor); this.Role = LayerRole.Input; _delimiter = ','; }
public CsvSensorLayerProperties(INeuronFactory factory) : base(factory) { }
public Perceptron(INeuronFactory neuronFactory) { _neuron = neuronFactory.Create(); }
public void Setup() { _factory = MockRepository.GenerateMock <INeuronFactory>(); }
public NeuronService(string weightsDirectory, INeuronFactory factory) { _weightsDirectory = weightsDirectory ?? throw new ArgumentNullException(nameof(weightsDirectory)); _factory = factory ?? throw new ArgumentNullException(nameof(factory)); }
public LayerProperties(INeuronFactory factory) { _neuronFactory = factory; }