Serialized Form
Package org.neat4j.core.distribute |
serialVersionUID: 1L
fitnessFunction
NEATFitnessFunction fitnessFunction
genoType
Chromosome genoType
id
int id
hasRun
boolean hasRun
serialVersionUID: 1L
Package org.neat4j.neat.applications.gui |
serialVersionUID: 1L
net
NEATNeuralNet net
Package org.neat4j.neat.core |
genes
Gene[] genes
fitness
double fitness
specieId
int specieId
nOrder
boolean nOrder
featureValue
java.lang.Double featureValue
innovationNumber
int innovationNumber
serialVersionUID: 1L
pXover
double pXover
pAddLink
double pAddLink
pAddNode
double pAddNode
pToggleLink
double pToggleLink
pMutation
double pMutation
pMutateBias
double pMutateBias
inputNodes
int inputNodes
outputNodes
int outputNodes
popSize
int popSize
disjointCoeff
double disjointCoeff
excessCoeff
double excessCoeff
weightCoeff
double weightCoeff
threshold
double threshold
maxSpecieAge
int maxSpecieAge
specieAgeThreshold
int specieAgeThreshold
specieYouthThreshold
int specieYouthThreshold
agePenalty
double agePenalty
youthBoost
double youthBoost
compatabilityChange
double compatabilityChange
specieCount
int specieCount
pWeightReplaced
double pWeightReplaced
survivalThreshold
double survivalThreshold
featureSelection
boolean featureSelection
extraFeatureCount
int extraFeatureCount
eleEvents
boolean eleEvents
eleSurvivalCount
double eleSurvivalCount
eleEventTime
int eleEventTime
recurrencyAllowed
boolean recurrencyAllowed
keepBestEver
boolean keepBestEver
terminationValue
double terminationValue
naturalOrder
boolean naturalOrder
maxPerturb
double maxPerturb
maxBiasPerturb
double maxBiasPerturb
serialVersionUID: 1L
descriptor
NEATGADescriptor descriptor
mut
NEATMutator mut
func
FitnessFunction func
selector
ParentSelector selector
xOver
CrossOver xOver
pop
Population pop
discoveredBest
Chromosome discoveredBest
genBest
Chromosome genBest
specieList
Species specieList
eleCount
int eleCount
innovationNumber
int innovationNumber
enabled
boolean enabled
fromId
int fromId
toId
int toId
weight
double weight
selfRecurrent
boolean selfRecurrent
recurrent
boolean recurrent
inputSize
int inputSize
learnable
Learnable learnable
structure
Chromosome structure
layerSize
int layerSize
layerInputSize
int layerInputSize
layerId
int layerId
function
ActivationFunction function
isOutputLayer
boolean isOutputLayer
nodesSelfRecurrent
boolean nodesSelfRecurrent
netOutputs
double[] netOutputs
serialVersionUID: 1L
outputSet
java.util.ArrayList<E> outputSet
idx
int idx
descriptor
NEATNetDescriptor descriptor
connections
Synapse[] connections
neurons
NEATNeuron[] neurons
level
int level
layerDescriptors
java.util.ArrayList<E> layerDescriptors
netInputs
int netInputs
learnable
Learnable learnable
recurrent
boolean recurrent
lastActivation
double lastActivation
bias
double bias
weights
double[] weights
activationFunction
ActivationFunction activationFunction
id
int id
type
int type
depth
int depth
sourceNeurons
java.util.ArrayList<E> sourceNeurons
incomingSynapses
java.util.ArrayList<E> incomingSynapses
isInput
boolean isInput
innovationNumber
int innovationNumber
id
int id
sigmoidFactor
double sigmoidFactor
type
int type
depth
double depth
bias
double bias
chromosomes
Chromosome[] chromosomes
popSize
int popSize
initialChromoSize
int initialChromoSize
inputs
int inputs
outputs
int outputs
featureSelection
boolean featureSelection
extraFeatureCount
int extraFeatureCount
Package org.neat4j.neat.core.control |
Package org.neat4j.neat.core.fitness |
serialVersionUID: 1L
Package org.neat4j.neat.core.mutators |
pAddLink
double pAddLink
pAddNode
double pAddNode
pPerturb
double pPerturb
pToggle
double pToggle
pWeightReplaced
double pWeightReplaced
pMutateBias
double pMutateBias
featureSelection
boolean featureSelection
recurrencyAllowed
boolean recurrencyAllowed
perturb
double perturb
biasPerturb
double biasPerturb
Package org.neat4j.neat.core.pselectors |
numElitist
int numElitist
naturalOrder
boolean naturalOrder
rand
java.util.Random rand
Package org.neat4j.neat.core.xover |
serialVersionUID: 1L
pXOver
double pXOver
Package org.neat4j.neat.data.core |
Package org.neat4j.neat.data.csv |
inputSet
NetworkInputSet inputSet
expectedOutputSet
ExpectedOutputSet expectedOutputSet
values
double[] values
ops
java.util.ArrayList<E> ops
idx
int idx
inputPattern
double[] inputPattern
inputs
java.util.ArrayList<E> inputs
idx
int idx
Package org.neat4j.neat.data.modify |
ip
NetworkInput ip
Package org.neat4j.neat.ga.core |
isElitistSet
boolean isElitistSet
idx
int idx
net
NeuralNet net
evalDataSet
NetworkDataSet evalDataSet
Package org.neat4j.neat.nn.core |
env
java.util.HashMap<K,V> env
from
Neuron from
to
Neuron to
weight
double weight
enabled
boolean enabled
Package org.neat4j.neat.nn.core.functions |
factor
double factor
Package org.neat4j.neat.nn.core.learning |
env
LearningEnvironment env