private NeuralNetworkFactory(ISomaFactory somaFactory, IAxonFactory axonFactory, ISynapseFactory hiddenSynapseFactory, ISynapseFactory inputOutputSynapseFactory, IWeightInitializer biasInitializer)
{
_somaFactory = somaFactory;
_axonFactory = axonFactory;
_hiddenSynapseFactory = hiddenSynapseFactory;
_inputOutputSynapseFactory = inputOutputSynapseFactory;
_biasInitiliazer = biasInitializer;
}
private NeuralNetworkFactory(ISomaFactory somaFactory, IAxonFactory axonFactory, ISynapseFactory hiddenSynapseFactory, ISynapseFactory inputOutputSynapseFactory, IWeightInitializer biasInitializer)
{
_somaFactory = somaFactory;
_axonFactory = axonFactory;
_hiddenSynapseFactory = hiddenSynapseFactory;
_inputOutputSynapseFactory = inputOutputSynapseFactory;
_biasInitiliazer = biasInitializer;
}
internal IList <Synapse> CreateTerminalsFromWeightList(ISynapseFactory synapseFactory, IList <double> weights)
{
var terminals = new List <Synapse>();
for (int t = 0; t < weights.Count; t++)
{
terminals.Add(synapseFactory.Create(weights[t]));
}
return(terminals);
}
internal IList <Synapse> CreateTerminals(ISynapseFactory synapseFactory, int numberOfSynapses)
{
var terminals = new List <Synapse>();
for (int t = 0; t < numberOfSynapses; t++)
{
terminals.Add(synapseFactory.Create());
}
return(terminals);
}
internal Dictionary <int, IList <Synapse> > CreateSynapseMapLayer(ISynapseFactory synapseFactory, int numberOfNeuronsInLayer, int numberOfTerminalsPerNeuron)
{
var mapLayer = new Dictionary <int, IList <Synapse> >();
for (int i = 0; i < numberOfNeuronsInLayer; i++)
{
mapLayer[i] = CreateTerminals(synapseFactory, numberOfTerminalsPerNeuron);
}
return(mapLayer);
}
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));
}
internal Dictionary <int, IList <Synapse> > CreateSynapseMapLayerFromLayerGene(ISynapseFactory synapseFactory, LayerGene layerGene)
{
var mapLayer = new Dictionary <int, IList <Synapse> >();
for (int i = 0; i < layerGene.Neurons.Count; i++)
{
mapLayer[i] = CreateTerminalsFromWeightList(synapseFactory, layerGene.Neurons[i].Axon.Weights);
}
return(mapLayer);
}
public static NeuralNetworkFactory GetInstance(ISomaFactory somaFactory, IAxonFactory axonFactory, ISynapseFactory hiddenSynapseFactory, ISynapseFactory inputOutputSynapseFactory, IWeightInitializer biasInitializer)
{
return new NeuralNetworkFactory(somaFactory, axonFactory, hiddenSynapseFactory, inputOutputSynapseFactory, biasInitializer);
}
internal IList<Synapse> CreateTerminalsFromWeightList(ISynapseFactory synapseFactory, IList<double> weights)
{
var terminals = new List<Synapse>();
for (int t = 0; t < weights.Count; t++)
{
terminals.Add(synapseFactory.Create(weights[t]));
}
return terminals;
}
internal IList<Synapse> CreateTerminals(ISynapseFactory synapseFactory, int numberOfSynapses)
{
var terminals = new List<Synapse>();
for (int t = 0; t < numberOfSynapses; t++)
{
terminals.Add(synapseFactory.Create());
}
return terminals;
}
internal Dictionary<int, IList<Synapse>> CreateSynapseMapLayerFromLayerGene(ISynapseFactory synapseFactory, LayerGene layerGene)
{
var mapLayer = new Dictionary<int, IList<Synapse>>();
for (int i = 0; i < layerGene.Neurons.Count; i++)
{
mapLayer[i] = CreateTerminalsFromWeightList(synapseFactory, layerGene.Neurons[i].Axon.Weights);
}
return mapLayer;
}
internal Dictionary<int, IList<Synapse>> CreateSynapseMapLayer(ISynapseFactory synapseFactory, int numberOfNeuronsInLayer, int numberOfTerminalsPerNeuron)
{
var mapLayer = new Dictionary<int, IList<Synapse>>();
for (int i = 0; i < numberOfNeuronsInLayer; i++)
{
mapLayer[i] = CreateTerminals(synapseFactory, numberOfTerminalsPerNeuron);
}
return mapLayer;
}
