public override void adjustWeights()
{
this.errorToBP = calcErrorProjectedFromNextNeurons() * NeuronActivation.Derivative(summation);
double e = this.errorToBP * learningRate;
for (int c = 0; c < this.weights.Length; c++)
{
this.weights [c] -= this.input [c] * e;
}
bais -= e;
}
/// <summary>
/// This function adjusts the weights of the Neuron.
/// This function must be called after the expected value has been
/// set.
/// </summary>
public override void adjustWeights()
{
if (expectedValueCalled != true)
{
throw new Exception("Expeected Value not given");
}
errorToBP = this.error * NeuronActivation.Derivative(summation);
double e = this.learningRate * errorToBP;
for (int c = 0; c < this.weights.Length; c++)
{
this.weights [c] -= this.input [c] * e;
}
bais -= e;
expectedValueCalled = false;
}
public double Output(int inputIndexInNextNeuron, Neuron nextNeuron)
{
if (!ONHBS)
{
if (!nextNeuronAndInputIndexInNeuron.ContainsKey(nextNeuron))
{
nextNeuronAndInputIndexInNeuron.Add(nextNeuron, inputIndexInNextNeuron);
}
else
{
throw new Exception("This neuron already exist in the next neuron");
}
}
summation = ParameterList <double> .vectorDot(weights, input) + bais;
return(NeuronActivation.Function(summation));
}
/// <summary>
/// This function adjusts the weights of the Neuron after getting the
/// value which is expected out of the neuron
/// </summary>
public void adjustWeights(double expectedValue)
{
if (expectedValueCalled != true)
{
this.expectedValue(expectedValue);
}
errorToBP = this.error * NeuronActivation.Derivative(summation);
double e = this.learningRate * errorToBP;
for (int c = 0; c < this.weights.Length; c++)
{
this.weights [c] -= this.input [c] * e;
}
bais -= e;
expectedValueCalled = false;
}