Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

## Uses of Interface
org.encog.neural.networks.training.CalculateScore

Packages that use CalculateScore
org.encog.neural.neat.training |
org.encog.neural.networks.training | This package provides training for neural networks.
org.encog.neural.networks.training.anneal | This package trains neural network using simulated annealing.
org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks.

Uses of CalculateScore in org.encog.neural.neat.training

Constructors in org.encog.neural.neat.training with parameters of type CalculateScore
`NEATTraining(CalculateScore calculateScore, int inputCount, int outputCount, int populationSize)` Construct a neat trainer with a new population.
`NEATTraining(CalculateScore calculateScore, Population population)` Construct neat training with an existing population.

Uses of CalculateScore in org.encog.neural.networks.training

Classes in org.encog.neural.networks.training that implement CalculateScore
`class` | `TrainingSetScore` Calculate a score based on a training set.

Uses of CalculateScore in org.encog.neural.networks.training.anneal

Methods in org.encog.neural.networks.training.anneal that return CalculateScore
`CalculateScore` | `NeuralSimulatedAnnealing.getCalculateScore()`

Constructors in org.encog.neural.networks.training.anneal with parameters of type CalculateScore
`NeuralSimulatedAnnealing(BasicNetwork network, CalculateScore calculateScore, double startTemp, double stopTemp, int cycles)` Construct a simulated annleaing trainer for a feedforward neural network.

Uses of CalculateScore in org.encog.neural.networks.training.genetic

Constructors in org.encog.neural.networks.training.genetic with parameters of type CalculateScore
`GeneticScoreAdapter(CalculateScore calculateScore)` Construct the adapter.
`NeuralGeneticAlgorithm(BasicNetwork network, Randomizer randomizer, CalculateScore calculateScore, int populationSize, double mutationPercent, double percentToMate)` Construct a neural genetic algorithm.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

Copyright © 2011. All Rights Reserved.