public static TPM GetInstance(TPMConfiguration configuration)
{
var outputNeuron = new Neuron.Neuron();
var outputLayer = new Layer.Layer(new List<INeuron> { outputNeuron }, null);
var hiddenNeurons = new List<INeuron>();
for (var i = 0; i < configuration.HiddenNeuronCount; i++)
{
var neuron = new Neuron.Neuron();
var synapse = new Synapse.MultiplyerSynapse(neuron, outputNeuron);
neuron.TargetSynapses.Add(synapse);
outputNeuron.SourceSynapses.Add(synapse);
hiddenNeurons.Add(neuron);
}
var hiddenLayer = new Layer.Layer(hiddenNeurons, outputLayer);
var inputNeurons = new List<INeuron>();
var random = new Random(DateTime.Now.Millisecond);
foreach (var hiddenNeuron in hiddenNeurons)
{
for (int i = 0; i < configuration.InputNeuronCount; i++)
{
var neuron = new Neuron.Neuron();
var weight = random.Next(configuration.WeightRange * -1, configuration.WeightRange + 1);
var synapse = new Synapse.SummarizeSynapse(neuron, hiddenNeuron, weight);
neuron.TargetSynapses.Add(synapse);
hiddenNeuron.SourceSynapses.Add(synapse);
inputNeurons.Add(neuron);
}
}
var inputLayer = new Layer.Layer(inputNeurons, hiddenLayer);
return new TPM(inputLayer, outputLayer);
}
static void Main(string[] args)
{
var configuration = new TPMConfiguration(12, 8, 4);
var tpm1 = TPMFactory.GetInstance(configuration);
var tpm2 = TPMFactory.GetInstance(configuration);
var tutor = new Tutor(configuration);
tutor.SyncTPM(tpm1 , tpm2);
}
public static TPM GetInstance(TPMConfiguration configuration)
{
var outputNeuron = new Neuron.Neuron();
var outputLayer = new Layer.Layer(new List <INeuron> {
outputNeuron
}, null);
var hiddenNeurons = new List <INeuron>();
for (var i = 0; i < configuration.HiddenNeuronCount; i++)
{
var neuron = new Neuron.Neuron();
var synapse = new Synapse.MultiplyerSynapse(neuron, outputNeuron);
neuron.TargetSynapses.Add(synapse);
outputNeuron.SourceSynapses.Add(synapse);
hiddenNeurons.Add(neuron);
}
var hiddenLayer = new Layer.Layer(hiddenNeurons, outputLayer);
var inputNeurons = new List <INeuron>();
var random = new Random(DateTime.Now.Millisecond);
foreach (var hiddenNeuron in hiddenNeurons)
{
for (int i = 0; i < configuration.InputNeuronCount; i++)
{
var neuron = new Neuron.Neuron();
var weight = random.Next(configuration.WeightRange * -1, configuration.WeightRange + 1);
var synapse = new Synapse.SummarizeSynapse(neuron, hiddenNeuron, weight);
neuron.TargetSynapses.Add(synapse);
hiddenNeuron.SourceSynapses.Add(synapse);
inputNeurons.Add(neuron);
}
}
var inputLayer = new Layer.Layer(inputNeurons, hiddenLayer);
return(new TPM(inputLayer, outputLayer));
}
public Tutor(TPMConfiguration configuration)
{
this.configuration = configuration;
}