public virtual FloatArray BackWard(FloatArray backprop)
{
var DO = _activationFunction.Derivate(_target.SumVector, _target.OutputVector);
_target.ErrorVector = DO * backprop;
return((_target.ErrorVector * _target.KnowlodgeMatrix).SumColumn());
}
public virtual Array <FloatArray> BackWard(FloatArray backprop)
{
var DO = _activationFunction.Derivate(_target.Sum, _target.OutputVector);
_target.ErrorVector = DO * backprop;
var back = new Array <FloatArray>(_target.ConectionsSize.Length);
//Parallel.For(0, _target.ConectionsSize.Length, i => back[i] = (_target.ErrorVector * _target.KnowlodgeMatrix[i]).SumColumn());
for (int i = 0; i < _target.ConectionsSize.Length; i++)
{
back[i] = (_target.ErrorVector * _target.KnowlodgeMatrix[i]).SumColumn();
}
return(back);
}
public void BackWard(Array <float> values)
{
var DE = _errorFunction.Error(_target.OutputVector, values);
var DO = _activationFunction.Derivate(_target.SumVector);
_target.ErrorVector = DE * DO;
_target.ErrorWeightVector = NumMath.SumLine(_target.ErrorVector.W * _target.KnowlodgeMatrix);
}
