public void UpdateAllSynapsesByAverage()
{
for (int i = 0; i < 7; i++)
{
foreach (var synapse in NetworkLayers.Last().NetworkNeurons[i].Inputs)
{
//synapse.Weight += newWeights[i];
}
}
}
public void AddLayer(int NeuronCount)
{
NetworkLayer newNetworkLayer = new NetworkLayer();
newNetworkLayer.AddLayer(NeuronCount);
if (NetworkLayers.Count > 0)
{
newNetworkLayer.ConnectLayers(NetworkLayers.Last());
}
NetworkLayers.Add(newNetworkLayer);
}
public List <double> GetOutputs(Glass Input)
{
SetNeuralNetworkInputValues(Input);
List <double> outputValues = new List <double>();
foreach (var layer in NetworkLayers)
{
layer.PerformCalculation();
}
foreach (var neuron in NetworkLayers.Last().NetworkNeurons)
{
outputValues.Add(neuron.getValue());
}
return(outputValues);
}
public void CalculateNewWeigths(List <double> outputs, List <double> correct_outputs)
{
//double newWeight = weight - LearningRate * ((outputs - correct_outputs)* synpas.fromNeuron.value);
for (int i = 0; i < outputs.Count; i++)
{
foreach (var synape in NetworkLayers.Last().NetworkNeurons[i].Inputs)
{
double curOutput = NetworkLayers.Last().CalcActivation(NetworkLayers.Last().NetworkNeurons[i].CalcOutput());
double delta = synape.NeuronFrom.currentValue * (correct_outputs[i] - curOutput) * LearningRate * curOutput * (1 - curOutput);
synape.Delta = (outputs[i] - correct_outputs[i]) * outputs[i] * (1 - outputs[i]) * synape.NeuronFrom.currentValue;
//if(newWeights.Count <= i)
//{
// newWeights.Add(delta);
//}
//else
//{
// newWeights[i] = (newWeights[i] + delta) / 2;
//}
//var nodeDelta = (correct_outputs[i] - outputs[i]) * outputs[i] * (1 - outputs[i]);
//var delta = -1 * synape.NeuronFrom.currentValue * nodeDelta;
//synape.NewWeight = synape.Weight - LearningRate * nodeDelta;
//synape.NewWeight = synape.Weight - LearningRate * ((outputs[i] - correct_outputs[i]));
//double previouseWeigths = synape.NewWeight;
}
}
for (int j = NetworkLayers.Count - 2; j > 0; j--)
{
foreach (var neuron in NetworkLayers[j].NetworkNeurons)
{
foreach (var synapse in neuron.Inputs)
{
synapse.Delta = synapse.NeuronFrom.currentValue * synapse.NeuronTo.currentValue * (1 - synapse.NeuronTo.currentValue) * GetAllDeltas(synapse);
//synapse.Weight += synapse.NeuronFrom.currentValue * (correct_outputs[i] - outputs[i]) * LearningRate * outputs[i] * (1 - outputs[i]);
//double sumPartial = GetPrSynapsesWeigt(synapse.NeuronTo);
//synapse.NewWeight = synapse.Weight - LearningRate * ((outputs[i] - correct_outputs[i]) * synapse.NeuronFrom.getValue());
//double previouseWeigths = synapse.NewWeight;
}
}
}
}