|
|||||||||||
PREV NEXT | FRAMES NO FRAMES |
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
|
|
|||||||||||
PREV NEXT | FRAMES NO FRAMES |