Uses of Package
com.anji.integration

Packages that use com.anji.integration
com.anji.gomoku com.anji.gomoku contains classes to handle Go-Moku (see Gamerz.net for rules). 
com.anji.imaging com.anji.imaging contains utility classes to handle image processing. 
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.roshambo com.anji.roshambo contains classes to implement the game of roshambo, also commonly known as rock-scissors-paper. 
com.anji.tournament com.anji.tournament contains classes to handle tournaments and games. 
com.anji.ttt com.anji.ttt contains classes to handle Tic-Tac-Toe (see Yahooligans for rules). 
 

Classes in com.anji.integration used by com.anji.gomoku
Activator
          Although any object taking and returning double arrays can implement this, it is meant to be a simple neural net interface where the arrays are input and output activation patterns.
Transcriber
          To "transcribe" is to construct a phenotype from a genotype.
TranscriberException
           
 

Classes in com.anji.integration used by com.anji.imaging
TranscriberException
           
 

Classes in com.anji.integration used by com.anji.integration
Activator
          Although any object taking and returning double arrays can implement this, it is meant to be a simple neural net interface where the arrays are input and output activation patterns.
ErrorFunction
           
ErrorRateCounter
           
TargetFitnessFunction
          Determines fitness based on how close Activator output is to a target.
Transcriber
          To "transcribe" is to construct a phenotype from a genotype.
TranscriberException
           
 

Classes in com.anji.integration used by com.anji.neat
Activator
          Although any object taking and returning double arrays can implement this, it is meant to be a simple neural net interface where the arrays are input and output activation patterns.
TargetFitnessFunction
          Determines fitness based on how close Activator output is to a target.
 

Classes in com.anji.integration used by com.anji.persistence
Activator
          Although any object taking and returning double arrays can implement this, it is meant to be a simple neural net interface where the arrays are input and output activation patterns.
 

Classes in com.anji.integration used by com.anji.roshambo
Transcriber
          To "transcribe" is to construct a phenotype from a genotype.
TranscriberException
           
 

Classes in com.anji.integration used by com.anji.tournament
Transcriber
          To "transcribe" is to construct a phenotype from a genotype.
TranscriberException
           
 

Classes in com.anji.integration used by com.anji.ttt
Activator
          Although any object taking and returning double arrays can implement this, it is meant to be a simple neural net interface where the arrays are input and output activation patterns.
Transcriber
          To "transcribe" is to construct a phenotype from a genotype.
TranscriberException