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

P

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

Pattern - Class in de.htwdd.rosenkoenig.neuro.net.training

Stores patterns to train feed forward neural networks.

Pattern(double[], double[]) - Constructor for class de.htwdd.rosenkoenig.neuro.net.training.Pattern

patternChecker - Variable in class de.htwdd.rosenkoenig.gui.ConfigurationDialog

PatternCreator - Class in de.htwdd.rosenkoenig.neuro

This class implements the interface GameObserver in order to create output that the net later on can be fed with.

PatternCreator(Game, String) - Constructor for class de.htwdd.rosenkoenig.neuro.PatternCreator

Ctor.

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

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

patterns - Static variable in class de.htwdd.rosenkoenig.neuro.net.examples.AnimalExample

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

The set of training patterns.

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

The patterns set provided by the user.

patternsIterator() - Method in class de.htwdd.rosenkoenig.neuro.net.training.Trainer

Returns an iterator over the elements in this list in proper sequence.

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

patternsSize() - Method in class de.htwdd.rosenkoenig.neuro.net.training.Trainer

Returns the number of elements in this list.

patternsToArray() - Method in class de.htwdd.rosenkoenig.neuro.net.training.Trainer

Returns an array containing all of the elements in this list in proper sequence.

patternsToArray(Pattern[]) - Method in class de.htwdd.rosenkoenig.neuro.net.training.Trainer

Returns an array containing all of the elements in this list in proper sequence; the runtime type of the returned array is that of the specified array.

pBlu - Static variable in class de.htwdd.rosenkoenig.util.GreyFilter

pBri - Variable in class de.htwdd.rosenkoenig.util.GreyFilter

Member that determines the amount the image will be brightened.

PERCENTAGE - Static variable in class de.htwdd.rosenkoenig.util.Graphics

default brightening percentage, 20%.

pGrn - Static variable in class de.htwdd.rosenkoenig.util.GreyFilter

piHalf - Static variable in class de.htwdd.rosenkoenig.neuro.net.Cosine

placeLetters() - Method in class de.htwdd.rosenkoenig.gui.genuts.Name

Places the single letters this Name consists of.

play(String) - Method in class de.htwdd.rosenkoenig.util.SoundList

plays a soundfile

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

List of playable cards.

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

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

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

Player - Class in de.htwdd.rosenkoenig.game

Abstract class for all players.

Player() - Constructor for class de.htwdd.rosenkoenig.game.Player

Ctor, does nothing.

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

PLAYER_DIR - Static variable in class de.htwdd.rosenkoenig.Rosenkoenig

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

playerFiles - Static variable in class de.htwdd.rosenkoenig.gui.PlayerPanel

PlayerPanel - Class in de.htwdd.rosenkoenig.gui

PlayerPanel is a gui class intended to choose players or to create new ones.

PlayerPanel() - Constructor for class de.htwdd.rosenkoenig.gui.PlayerPanel

PlayerPanel(LayoutManager) - Constructor for class de.htwdd.rosenkoenig.gui.PlayerPanel

PlayerPanel(boolean) - Constructor for class de.htwdd.rosenkoenig.gui.PlayerPanel

PlayerPanel(LayoutManager, boolean) - Constructor for class de.htwdd.rosenkoenig.gui.PlayerPanel

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

playerPanel1 - Variable in class de.htwdd.rosenkoenig.gui.ConfigurationDialog

playerPanel2 - Variable in class de.htwdd.rosenkoenig.gui.ConfigurationDialog

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

This enumeration represents the players.

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

Thread to simulate GUI actions.

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

playfield - Variable in class de.htwdd.rosenkoenig.gui.genuts.GUICard

pMask - Variable in class de.htwdd.rosenkoenig.util.ColorFilter

Determines the amount the image will be brightened;

POPULATION_FILE_PREFIX - Static variable in class de.htwdd.rosenkoenig.ga.GeneticRosenkoenig

PopulationOutputter - Class in de.htwdd.rosenkoenig.ga

Can be used to visualize the outputs generated by GeneticRosenkoenig.

PopulationOutputter(String) - Constructor for class de.htwdd.rosenkoenig.ga.PopulationOutputter

Visualizes one ore more populations.

Position - Class in de.htwdd.rosenkoenig.game

This class wraps a position for the game.

Position(int, int) - Constructor for class de.htwdd.rosenkoenig.game.Position

Ctor, set x and y distance

position - Variable in class de.htwdd.rosenkoenig.gui.genuts.Counter

position - Variable in class de.htwdd.rosenkoenig.gui.genuts.Name

posVariation - Static variable in class de.htwdd.rosenkoenig.gui.genuts.Stone

pRed - Static variable in class de.htwdd.rosenkoenig.util.GreyFilter

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

A highly sophisticated function that, much better than all other functions: creates a double array for the crown (1), player color (2), card direction, move width, playability of the card for all ten cards ((8+3+1)*10) and 10 values for the knights (four, three, two, one or no knights) For the crown there is only a small part of the board saved and rotated (normalized) to save input neurons of the net.

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

Activates the current player's controls, updates the gui and notifies all observers.

present(FeedForwardNet, List<Pattern>) - Static method in class de.htwdd.rosenkoenig.neuro.net.examples.BankExample

present(FeedForwardNet, List<Pattern>) - Static method in class de.htwdd.rosenkoenig.neuro.net.examples.Benchmark

present(FeedForwardNet, List<Pattern>) - Static method in class de.htwdd.rosenkoenig.neuro.net.examples.XORExample

presentPatterns(KohonenNet) - Static method in class de.htwdd.rosenkoenig.neuro.net.examples.AnimalExample

print(Object) - Method in class de.htwdd.rosenkoenig.util.StdErrLogger

println(Object) - Method in class de.htwdd.rosenkoenig.util.StdErrLogger

println(String) - Method in class de.htwdd.rosenkoenig.util.StdErrLogger

printStreams - Variable in class de.htwdd.rosenkoenig.neuro.PatternCreator

Enumeration containing the PrintStreams of the feeds for the two players.

propagate(double[]) - Method in class de.htwdd.rosenkoenig.neuro.net.FeedForwardNet

Fully connects the net's layers, if the net is not initialized and propagate the pattern given by pattern through all layers.

propagate() - Method in class de.htwdd.rosenkoenig.neuro.net.InnerLayer

Propagate a pattern through the net using the output of the previous layer as input.

propagate() - Method in class de.htwdd.rosenkoenig.neuro.net.InputLayer

Propagate a pattern through the net.

propagate() - Method in class de.htwdd.rosenkoenig.neuro.net.KohonenLayer

Determines this layer's output by propagating the input to the wrapped KohonenNet.

propagate(double[]) - Method in class de.htwdd.rosenkoenig.neuro.net.KohonenNet

Calculates the winning neuron for the provided pattern.

propagate() - Method in class de.htwdd.rosenkoenig.neuro.net.Layer

The propagate function must be implemented by every layer.

propagate(double[]) - Method in class de.htwdd.rosenkoenig.neuro.net.NeuralNet

Every net must implement a function to propagate a pattern through the net.

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

If set to true the net will be pruned after training.

pruneNet() - Method in class de.htwdd.rosenkoenig.neuro.net.training.Trainer

The weight of all connections with a weight lower than pruning limit are set to zero.

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

If pruning is activated, all weights smaller than pruningLimit will be set to 0 after training.