A B C D E F G H I J K L M N O P R S T U V W X Y

N

name - Variable in class de.htwdd.rosenkoenig.game.Player

Name - Class in de.htwdd.rosenkoenig.gui.genuts

This class holds the GUI representation of a String.

Name(PlayField, String, boolean) - Constructor for class de.htwdd.rosenkoenig.gui.genuts.Name

Name(PlayField, String) - Constructor for class de.htwdd.rosenkoenig.gui.genuts.Name

Creates the different sprites needed to represent the player's name and adds them to the playfield.

names - Variable in class de.htwdd.rosenkoenig.gui.genuts.GenutsGUI

neighbourhoodFunction - Variable in class de.htwdd.rosenkoenig.neuro.net.KohonenNet

NeighbourhoodFunction - Class in de.htwdd.rosenkoenig.neuro.net

Base class to provide a KohonenNet with a neighbourhood function.

NeighbourhoodFunction() - Constructor for class de.htwdd.rosenkoenig.neuro.net.NeighbourhoodFunction

Default constructor.

net - Variable in class de.htwdd.rosenkoenig.neuro.net.training.KohonenTrainer

The net trained by this KohonenTrainer.

net - Variable in class de.htwdd.rosenkoenig.neuro.net.training.Trainer

The net that will be trained.

net - Variable in class de.htwdd.rosenkoenig.neuro.NeuroPlayer

The player's brain :-)

netPanel - Variable in class de.htwdd.rosenkoenig.neuro.TrainerDialog

netScrollPane - Variable in class de.htwdd.rosenkoenig.neuro.TrainerDialog

netTable - Variable in class de.htwdd.rosenkoenig.neuro.TrainerDialog

nettoInput - Variable in class de.htwdd.rosenkoenig.neuro.net.Layer

An array to remember the netto input.

NetworkFitness - Class in de.htwdd.rosenkoenig.ga

A FitnessFunction to calculate the fitness of a neural net which could be applied to an artificial player.

NetworkFitness() - Constructor for class de.htwdd.rosenkoenig.ga.NetworkFitness

Creates a new fitness function and initializes the training data.

NeuralNet - Class in de.htwdd.rosenkoenig.neuro.net

This is the abstract class that every neuronal net is supposed to derive from.

NeuralNet() - Constructor for class de.htwdd.rosenkoenig.neuro.net.NeuralNet

Default ctor.

neuronsThatAreNotBiasedCount - Variable in class de.htwdd.rosenkoenig.neuro.net.Layer

This speakingly named variable gives us the number of neurons in a layer that are not biased.

NeuroPlayer - Class in de.htwdd.rosenkoenig.neuro

NeuroPlayer represents an artificial Rosenkoenig player that takes its decision based on the output of a neural network.

NeuroPlayer() - Constructor for class de.htwdd.rosenkoenig.neuro.NeuroPlayer

Creates a new NeuroPlayer with an uninitialized feed forward net.

NeuroPlayer(String) - Constructor for class de.htwdd.rosenkoenig.neuro.NeuroPlayer

Creates a new NeuroPlayer with an uninitialized feed forward net and the provided name.

NeuroPlayer.NeuroRunner - Class in de.htwdd.rosenkoenig.neuro

Used to (asynchrounusly) simulate GUI action.

NeuroPlayer.NeuroRunner(String) - Constructor for class de.htwdd.rosenkoenig.neuro.NeuroPlayer.NeuroRunner

nextCard - Variable in class de.htwdd.rosenkoenig.game.Game

this property determines user's next move; if user can move, and this property is unequal to five then the selected card is played otherwise the user draws a card, if possible (i.e. lt 5 cards)

normalizeBoard() - Method in class de.htwdd.rosenkoenig.game.Game

Normalize the board.

normalizeCards(Color) - Method in class de.htwdd.rosenkoenig.game.Game

Rotate (normalize) the cards for player depending on the position of the crown.

normalizeCrown() - Method in class de.htwdd.rosenkoenig.game.Game

Put the crown in a position of the field that is saved.

numFunctions - Static variable in class de.htwdd.rosenkoenig.ga.NetworkFitness

Static member that holds the number of instances of NetworkFitness present in the current process.