Package ann4j

Class MeanSquaredErrorCalculator

java.lang.Object

ann4j.MeanSquaredErrorCalculator

public class MeanSquaredErrorCalculator
extends Object

Constructor Summary

Constructors

Constructor	Description
MeanSquaredErrorCalculator()

Method Summary

Modifier and Type	Method	Description
static double	calculateMSE(OutputLayer outputLayer, ArrayList<Double> expectedOutputArrayList)	The function takes in an output layer and an array list of expected outputs.

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

MeanSquaredErrorCalculator

public MeanSquaredErrorCalculator()

Method Details

calculateMSE

public static double calculateMSE(OutputLayer outputLayer,
 ArrayList<Double> expectedOutputArrayList)

The function takes in an output layer and an array list of expected outputs. It then calculates the mean squared error between the output layer and the expected output array list

Parameters:

outputLayer - The output layer of the neural network

expectedOutputArrayList - The expected output of the neural network.

Returns:

The mean squared error.