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

T

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

An activation function using tanh.

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

Default ctor

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

Base class of algorithms to train feed forward neural nets.

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

teachPatterns(List<Pattern>) - Method in class de.htwdd.rosenkoenig.neuro.net.training.Backpropagation

Runs the backpropagation algorithm (for one cycle) on the provided pattern set.

teachPatterns(List<Pattern>) - Method in class de.htwdd.rosenkoenig.neuro.net.training.TeachingAlgorithm

Concrete teaching algorithms have to implement this method.

TIME_TO_SLEEP - Static variable in class de.htwdd.rosenkoenig.neuro.NeuroPlayer

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

This function toggles the knight selection of the currently active player.

toString() - Method in class de.htwdd.rosenkoenig.game.Card

toString() - Method in enum de.htwdd.rosenkoenig.game.Color

Watcha think?

toString() - Method in class de.htwdd.rosenkoenig.game.Position

Output the value of Position in a human readable fashion.

toString() - Method in enum de.htwdd.rosenkoenig.gui.ImageState

train() - Method in class de.htwdd.rosenkoenig.neuro.net.training.KohonenTrainer

Controls the teaching process.

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

train() controls the training process, which consists of the following steps: extract the training and validation sets from the provided pattern set run the teaching algorithm until the error is small enough (pattern sets are shuffled before each run run retraining until the validation error is small enough (optional) prune the net (optional)

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

trainer - Variable in class de.htwdd.rosenkoenig.neuro.net.training.TeachingAlgorithm

All training parameters can be accessed via this property.

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

The Trainer class is needed to train a FeedForwardNet.

Trainer(FeedForwardNet, TeachingAlgorithm) - Constructor for class de.htwdd.rosenkoenig.neuro.net.training.Trainer

Creates a new Trainer with default parameters.

TrainerDialog - Class in de.htwdd.rosenkoenig.neuro

Provides a Swing dialog to create, manipulate and train artificial players.

TrainerDialog(Frame) - Constructor for class de.htwdd.rosenkoenig.neuro.TrainerDialog

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

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

This set of patterns is extracted from patterns.

turn() - Method in class de.htwdd.rosenkoenig.game.HumanPlayer

Must be implemented even though it does nothing because human player interacts with GUI.

turn() - Method in class de.htwdd.rosenkoenig.game.Player

Deriving classes must do something in the turn function.

turn() - Method in class de.htwdd.rosenkoenig.neuro.NeuroPlayer

Wakes up the player thread which executes the player's turn.

turnEnded() - Method in interface de.htwdd.rosenkoenig.game.GameObserver

This function is called whenever a player's turn has ended i.e. the user clicked the OK button.

turnEnded() - Method in class de.htwdd.rosenkoenig.gui.GameLogger

This function is called whenever a player's turn has ended i.e. the user clicked the OK button.

turnEnded() - Method in class de.htwdd.rosenkoenig.neuro.PatternCreator

When the player ended their turn, we can write the result of the move.

turnStarted() - Method in interface de.htwdd.rosenkoenig.game.GameObserver

This function is called whenever a player's turn has started.

turnStarted() - Method in class de.htwdd.rosenkoenig.gui.GameLogger

This function is called whenever a player's turn has started.

turnStarted() - Method in class de.htwdd.rosenkoenig.neuro.PatternCreator

Turn started sets currentStream to the active player, initilizes card and drawCard and writes the board information to this file.