Uses of Class
de.htwdd.rosenkoenig.neuro.net.training.Pattern

Packages that use Pattern

de.htwdd.rosenkoenig.ga	Contains a Genetic Algorithm to determine an appropriate structure of a Neural Network that could be applied to an artificial player.
de.htwdd.rosenkoenig.neuro.net.examples	This package contains a number of examples to demonstrate the use of the different neural network classes.
de.htwdd.rosenkoenig.neuro.net.training	This package contains classes to train neural networks.

Uses of Pattern in de.htwdd.rosenkoenig.ga

Fields in de.htwdd.rosenkoenig.ga with type parameters of type Pattern

private java.util.ArrayList<Pattern>

NetworkFitness.ffPatterns Training patterns to train a Feed Forward Neural Network.

Uses of Pattern in de.htwdd.rosenkoenig.neuro.net.examples

Fields in de.htwdd.rosenkoenig.neuro.net.examples with type parameters of type Pattern

(package private) static java.util.ArrayList<Pattern>

AnimalExample.ffPatterns

Method parameters in de.htwdd.rosenkoenig.neuro.net.examples with type arguments of type Pattern

private static void	XORExample.present(FeedForwardNet net, java.util.List<Pattern> patterns)
private static void	Benchmark.present(FeedForwardNet net, java.util.List<Pattern> patterns)
private static void	BankExample.present(FeedForwardNet net, java.util.List<Pattern> patterns)

Uses of Pattern in de.htwdd.rosenkoenig.neuro.net.training

Fields in de.htwdd.rosenkoenig.neuro.net.training with type parameters of type Pattern

private java.util.List<Pattern>	Trainer.patterns The patterns set provided by the user.
private java.util.List<Pattern>	Trainer.trainingPatterns This set of patterns is extracted from patterns.
private java.util.List<Pattern>	Trainer.validationPatterns This set of patterns is extracted from patterns.

Methods in de.htwdd.rosenkoenig.neuro.net.training that return Pattern

Pattern	Trainer.getPatterns(int i) Returns the element at the specified position in this list.
Pattern[]	Trainer.patternsToArray() Returns an array containing all of the elements in this list in proper sequence.
Pattern[]	Trainer.patternsToArray(Pattern[] patterns) 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.

Methods in de.htwdd.rosenkoenig.neuro.net.training that return types with arguments of type Pattern

java.util.List<Pattern>	Trainer.getPatterns() Getter of the property patterns
java.util.Iterator<Pattern>	Trainer.patternsIterator() Returns an iterator over the elements in this list in proper sequence.

Methods in de.htwdd.rosenkoenig.neuro.net.training with parameters of type Pattern

void	Trainer.addPatterns(int index, Pattern pattern) Inserts the specified element at the specified position in this list (optional operation)
boolean	Trainer.addPatterns(Pattern pattern) Appends the specified element to the end of this list (optional operation).
boolean	Trainer.containsPatterns(Pattern pattern) Returns true if this list contains the specified element.
Pattern[]	Trainer.patternsToArray(Pattern[] patterns) 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.
boolean	Trainer.removePatterns(Pattern pattern) Removes the first occurrence in this list of the specified element (optional operation).

Method parameters in de.htwdd.rosenkoenig.neuro.net.training with type arguments of type Pattern

protected double	Trainer.calculateError(java.util.List<Pattern> patterns) Calculates the network's error on the provided pattern set.
void	Trainer.setPatterns(java.util.List<Pattern> patterns) Setter of the property patterns
abstract void	TeachingAlgorithm.teachPatterns(java.util.List<Pattern> patterns) Concrete teaching algorithms have to implement this method.
void	Backpropagation.teachPatterns(java.util.List<Pattern> patterns) Runs the backpropagation algorithm (for one cycle) on the provided pattern set.