org.encog.neural.error

Interface ErrorFunction

All Known Implementing Classes:

ATanErrorFunction, CrossEntropyErrorFunction, LinearErrorFunction, OutputErrorFunction

public interface ErrorFunction

An error function. This is used to calculate the errors for the output layer during propagation training.

Method Summary

Modifier and Type	Method and Description
void	calculateError(ActivationFunction af, double[] b, double[] a, double[] ideal, double[] actual, double[] error, double derivShift, double significance) Calculate the error.

Method Detail

calculateError

void calculateError(ActivationFunction af,
                    double[] b,
                    double[] a,
                    double[] ideal,
                    double[] actual,
                    double[] error,
                    double derivShift,
                    double significance)

Calculate the error.

Parameters:

af - The activation function used at the output layer.

b - The number to calculate the derivative of, the number "before" the activation function was applied.

a - The number "after" an activation function has been applied.

ideal - The ideal values.

actual - The actual values.

error - The resulting error values.

derivShift - The amount to shift af derivativeFunction by

significance - Weighting to apply to ideal[i] - actual[i]