Uses of Interface
com.anji.integration.Activator

Packages that use Activator
com.anji.gomoku com.anji.gomoku contains classes to handle Go-Moku (see Gamerz.net for rules). 
com.anji.integration com.anji.integration contains classes that provide the glue between the various components of the system, including artificial neural net implementations, JGAP, NEAT, Log4J, and persistence and presentation layers. 
com.anji.neat com.anji.neat contains classes implementing NEAT framework, including genes, mutation operators, and fitness function used for XOR. 
com.anji.persistence com.anji.persistence contains classes implementing a simple persistence interface. 
com.anji.ttt com.anji.ttt contains classes to handle Tic-Tac-Toe (see Yahooligans for rules). 
 

Uses of Activator in com.anji.gomoku
 

Constructors in com.anji.gomoku with parameters of type Activator
GomokuScanningNeuralNetPlayer(Activator anActivator)
          Construct subject from neural net.
GomokuNeuralNetPlayer(Activator anActivator)
          Construct subject from neural net.
 

Uses of Activator in com.anji.integration
 

Classes in com.anji.integration that implement Activator
 class AnjiActivator
          Simple neural network implementation of Activator interface.
 

Methods in com.anji.integration that return Activator
 Activator ActivatorTranscriber.newActivator(Chromosome ch)
          Constructs Activator phenotype from Chromosome genotype.
 

Uses of Activator in com.anji.neat
 

Methods in com.anji.neat with parameters of type Activator
 java.util.SortedMap NeatActivator.activate(Activator activator)
          Activate activator with stimuli, and return results
 

Uses of Activator in com.anji.persistence
 

Methods in com.anji.persistence with parameters of type Activator
 void Persistence.store(Activator a)
           
 void HibernatePersistence.store(Activator a)
           
 void FilePersistence.store(Activator a)
           
 

Uses of Activator in com.anji.ttt
 

Constructors in com.anji.ttt with parameters of type Activator
TttRotatingNeuralNetPlayer(Activator anActivator)
          Create subject whose "brains" are anActivator, 10 inputs and 9 outputs.
TttNineByOneNeuralNetPlayer(Activator anActivator)
          Create subject whose "brains" are anActivator, 10 inputs and 1 output.
TttNeuralNetPlayer(Activator anActivator)
          Create subject whose "brains" are anActivator, 10 inputs and 9 outputs.