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I

Identity - Class in de.htwdd.rosenkoenig.neuro.net
This is a dummy function that returns the same value for compute that was given to the function and 1.0 for computeDerivation.
Identity() - Constructor for class de.htwdd.rosenkoenig.neuro.net.Identity
Ctor, only call base class ctor.
imageList - Variable in class de.htwdd.rosenkoenig.gui.genuts.GenutsGUI
 
ImageList - Class in de.htwdd.rosenkoenig.util
This class provides a container for images, images are accessed by symbolic names.
ImageList() - Constructor for class de.htwdd.rosenkoenig.util.ImageList
 
images - Variable in class de.htwdd.rosenkoenig.gui.genuts.DrawDeck
 
images - Variable in class de.htwdd.rosenkoenig.gui.genuts.Knights
 
images - Static variable in class de.htwdd.rosenkoenig.gui.genuts.Stone
 
images - Variable in class de.htwdd.rosenkoenig.util.ImageList
 
imagesLoaded - Static variable in class de.htwdd.rosenkoenig.gui.genuts.GenutsGUI
 
imagesPerhaps - Static variable in class de.htwdd.rosenkoenig.gui.genuts.Stone
 
ImageState - Enum in de.htwdd.rosenkoenig.gui
This enum represents the different states of a GUI element.
ImageState() - Constructor for enum de.htwdd.rosenkoenig.gui.ImageState
 
imgBacks - Variable in class de.htwdd.rosenkoenig.gui.genuts.GUICard
 
imgSwords - Variable in class de.htwdd.rosenkoenig.gui.genuts.GUICard
 
index - Variable in class de.htwdd.rosenkoenig.ga.NetworkFitness
Index of the FitnessFunction.
init() - Static method in class de.htwdd.rosenkoenig.gui.genuts.Stone
Forces the Stone class to load the different images needed to draw stones.
initForTraining() - Method in class de.htwdd.rosenkoenig.neuro.net.FeedForwardNet
This function initializes the net for the training.
initForTraining() - Method in class de.htwdd.rosenkoenig.neuro.net.InnerLayer
Initialize the layer for training.
initForTraining() - Method in class de.htwdd.rosenkoenig.neuro.net.Synapse
Initialize the Synapse for training.
initGUI(Game, String, String) - Method in class de.htwdd.rosenkoenig.gui.GameLogger
Use this method to perform initialization.
initGUI(Game, String, String) - Method in class de.htwdd.rosenkoenig.gui.genuts.GenutsGUI
Initializes the graphical user interface: creates the board creates and positions the decks, the knights and the end-turn-button creates and initializes the player's scores sets the crown to its initial position initializes the player names Use this method to perform initialization.
initGUI(Game, String, String) - Method in interface de.htwdd.rosenkoenig.gui.GUI
Use this method to perform initialization.
initialize() - Method in class de.htwdd.rosenkoenig.gui.ConfigurationDialog
This method initializes this
initialize() - Method in class de.htwdd.rosenkoenig.gui.PlayerPanel
This method initializes this
initialize(Class) - Method in class de.htwdd.rosenkoenig.neuro.net.KohonenNet
Initializes input vector, output vector and the map itself.
initialize() - Method in class de.htwdd.rosenkoenig.neuro.TrainerDialog
This method initializes this
initialized - Variable in class de.htwdd.rosenkoenig.neuro.net.FeedForwardNet
Determines the initialization state of the net.
InnerLayer - Class in de.htwdd.rosenkoenig.neuro.net
This class represents all hidden layers.
InnerLayer() - Constructor for class de.htwdd.rosenkoenig.neuro.net.InnerLayer
The default ctor.
InnerLayer(int, boolean) - Constructor for class de.htwdd.rosenkoenig.neuro.net.InnerLayer
Ctor that creates an InnerLayer with numNeurons that is biased or not.
InnerLayer(int, boolean, ActivationFunction) - Constructor for class de.htwdd.rosenkoenig.neuro.net.InnerLayer
Ctor that creates a InnerLayer with numNeurons that is biased or not.
input - Variable in class de.htwdd.rosenkoenig.neuro.net.InputLayer
The array containing the input of the InputLayer.
input - Variable in class de.htwdd.rosenkoenig.neuro.net.KohonenNet
The input vector of the current run.
inputLayer - Variable in class de.htwdd.rosenkoenig.neuro.net.FeedForwardNet
The input layer of the net.
InputLayer - Class in de.htwdd.rosenkoenig.neuro.net
This class represents an input layer.
InputLayer() - Constructor for class de.htwdd.rosenkoenig.neuro.net.InputLayer
Default ctor.
InputLayer(int, boolean) - Constructor for class de.htwdd.rosenkoenig.neuro.net.InputLayer
Ctor that creates an InputLayer with numNeurons that is biased or not.
InputLayer(int, boolean, ActivationFunction) - Constructor for class de.htwdd.rosenkoenig.neuro.net.InputLayer
Ctor that creates a InnerLayer with numNeurons that is biased or not.
inputLayer - Variable in class de.htwdd.rosenkoenig.neuro.net.Synapse
The input layer of the Synapse.
inputLayerSize - Variable in class de.htwdd.rosenkoenig.neuro.net.KohonenNet
The number of inputs provided to the map.
inputs - Variable in class de.htwdd.rosenkoenig.neuro.net.training.Pattern
 
inputSize - Variable in class de.htwdd.rosenkoenig.neuro.net.InputLayer
The input size of this layer (i.e. the number of inputs per pattern).
inputSynapse - Variable in class de.htwdd.rosenkoenig.neuro.net.InnerLayer
This is the input synapse (i.e the connection from the previous layer).
instance - Static variable in class de.htwdd.rosenkoenig.neuro.net.Identity
 
instance - Static variable in class de.htwdd.rosenkoenig.neuro.net.Sigmoid
Create a new instance of the class to return to all that call the function getInstance.
instance - Static variable in class de.htwdd.rosenkoenig.neuro.net.Tanh
 
instance - Static variable in class de.htwdd.rosenkoenig.util.ImageList
 
instance - Static variable in class de.htwdd.rosenkoenig.util.SoundList
 
isAborted() - Method in class de.htwdd.rosenkoenig.gui.ConfigurationDialog
 
isBiased() - Method in class de.htwdd.rosenkoenig.neuro.net.Layer
Return whether this layer is biased or not.
isCardPlayable(Card, boolean) - Method in class de.htwdd.rosenkoenig.game.Game
Checks for active player if card is playable.
isCardPlayable(Color, Card, boolean) - Method in class de.htwdd.rosenkoenig.game.Game
Checks for player if card is playable.
isInteractive() - Method in class de.htwdd.rosenkoenig.game.HumanPlayer
Yes, this is an interactive player.
isInteractive() - Method in class de.htwdd.rosenkoenig.game.Player
If you derive from player and implement some kind of AI-player, return false here.
isInteractive() - Method in class de.htwdd.rosenkoenig.neuro.NeuroPlayer
If you derive from player and implement some kind of AI-player, return false here.
isLayersEmpty() - Method in class de.htwdd.rosenkoenig.neuro.net.FeedForwardNet
Returns true if this list contains no layers.
isOnBoard() - Method in class de.htwdd.rosenkoenig.game.Position
Check if this position is on the game board.
isPatternsEmpty() - Method in class de.htwdd.rosenkoenig.neuro.net.training.Trainer
Returns true if this list contains no elements.
isSpriteAt(int, int) - Method in class de.htwdd.rosenkoenig.gui.genuts.GUICard
both sword and background shall be clickable

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