Package | Description |
---|---|
org.encog.neural.hyperneat | |
org.encog.neural.neat | |
org.encog.neural.neat.training |
Modifier and Type | Method and Description |
---|---|
MLMethod |
HyperNEATCODEC.decode(NEATPopulation pop,
Substrate substrate,
Genome genome) |
NEATGenome |
FactorHyperNEATGenome.factor(Random rnd,
NEATPopulation pop,
int inputCount,
int outputCount,
double connectionDensity)
Create a new random NEAT genome.
|
Constructor and Description |
---|
HyperNEATGenome(Random rnd,
NEATPopulation pop,
int inputCount,
int outputCount,
double connectionDensity)
Construct a random HyperNEAT genome.
|
Modifier and Type | Method and Description |
---|---|
static TrainEA |
NEATUtil.constructNEATTrainer(NEATPopulation population,
CalculateScore calculateScore)
Construct a NEAT (or HyperNEAT trainer.
|
NEATGenome |
FactorNEATGenome.factor(Random rnd,
NEATPopulation pop,
int inputCount,
int outputCount,
double connectionDensity)
Create a new random NEAT genome.
|
NEATGenome |
NEATGenomeFactory.factor(Random rnd,
NEATPopulation pop,
int inputCount,
int outputCount,
double connectionDensity)
Create a new random NEAT genome.
|
Modifier and Type | Method and Description |
---|---|
void |
NEATInnovationList.setPopulation(NEATPopulation population)
Set the population that this genome belongs to.
|
Constructor and Description |
---|
NEATGenome(Random rnd,
NEATPopulation pop,
int inputCount,
int outputCount,
double connectionDensity)
Create a new genome with the specified connection density.
|
NEATInnovationList(NEATPopulation population)
Construct an innovation list, that includes the initial innovations.
|
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