public Neural3NetworkChecker(Neural3NetworkCreator neural3NetworkCreator)
{
_neural3NetworkCreator = neural3NetworkCreator;
var funcActivationWorker = new FuncActivationWorker(_neural3NetworkCreator.FuncActivationType);
_funcActivation = funcActivationWorker.GetFunction();
_derivativeOfFuncActivation = funcActivationWorker.DerivateByFuncActivation();
}
/// <summary>
/// Вычисление сглаженного и комбинированного сигналов для нейронов следующего слоя, пропущенных через функцию активации
/// </summary>
public double[] CalcSignalsFromLayer(double[] inputSignals, Layer inputLayer, Layer outputLayer, Relation[,] relations, FuncActivationDelegate funcActivation)
{
var array = new double[outputLayer.Neurons.Length];
for (int i = 0; i < outputLayer.Neurons.Length; i++)
{
double sumX = 0;
var outNeuron = outputLayer.Neurons[i];
for (int j = 0; j < inputLayer.Neurons.Length; j++)
{
var inNeuron = inputLayer.Neurons[j];
var relation = relations[j, i];
if (relation.InputNeuron.Number == inNeuron.Number && relation.OutputNeuron.Number == outNeuron.Number)
{
sumX += inputSignals[j] * relation.Weight;
}
}
array[i] = funcActivation.Invoke(sumX);
}
return(array);
}
