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

F

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

This class implements a feed forward net.

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

Creates an empty FeedForwardNet (i.e. without any layers).

FeedForwardNet(int, int) - Constructor for class de.htwdd.rosenkoenig.neuro.net.FeedForwardNet

Creates a FeedForwardNet with inputLayerSize number of input layers and outputLayerSize number of output layers.

ffPatterns - Variable in class de.htwdd.rosenkoenig.ga.NetworkFitness

Training patterns to train a Feed Forward Neural Network.

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

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

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

FILENAME - Static variable in class de.htwdd.rosenkoenig.neuro.net.examples.Benchmark

FILENAME - Static variable in class de.htwdd.rosenkoenig.neuro.net.examples.XORExample

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

fillPatternList() - Method in class de.htwdd.rosenkoenig.neuro.TrainerDialog

filterRGB(int, int, int) - Method in class de.htwdd.rosenkoenig.util.ColorFilter

filterRGB(int, int, int) - Method in class de.htwdd.rosenkoenig.util.GreyFilter

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

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

This property is useful to highten the derivation of functions like Sigmoid, whose derivation is relatively flat.

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

FLOWER_OFFSET - Static variable in class de.htwdd.rosenkoenig.gui.genuts.GUICard