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| GeneticAlgorithm (NeuralNet &theNetwork, const int populationSize, const double mutationRate=0.1, const double crossoverRate=0.7) |
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void | setNumberOfEliteGenomes (const int n) |
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void | setEliteGenomeReplicationCount (const int count) |
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void | newGeneration () |
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void | evaluatePopulationFitness (const std::vector< double > &inputValues, const std::vector< double > &desiredOutput) |
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void | batchTrain (const int numberOfEpochs, const NeuralNetDataSet &dataSet, const NeuralNet::InputNormalisationSelect normaliseTrainingData=NeuralNet::PassthroughNormalised) |
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void | batchTrain (const int numberOfEpochs, const NeuralNetDataSet &dataSet, const std::vector< InputNormaliser * > &inputNormalisers) |
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void | setProgressPrintoutFrequency (const int frequency) |
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void | setMaximumGenomeFitness (const double fitness) |
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std::vector< double > | getTrainingErrorValuesPerEpoch () const |
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void | trainWithDataSet (const int numberOfEpochs, const NeuralNetDataSet &dataSet) |
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void | pickBest () |
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void | exterminate () |
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double | totalPopulationFitness () |
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int | pickGenomeByRoulette () |
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void | addEliteGenomesToNextGeneration (std::vector< Genome * > &nextGen) |
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virtual double | calculateGenomeFitness (const double error) |
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void | processDataSet (const NeuralNetDataSet &dataSet) |
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double | error (const NeuralNetDataSet &dataSet) const |
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Definition at line 27 of file GeneticAlgorithm.h.
The documentation for this class was generated from the following file:
