Esempio n. 1
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 private Mutator(INeuralNetworkFactory networkFactory, IWeightInitializer weightInitializer, MutationConfigurationSettings config)
 {
     _networkFactory = networkFactory;
     _weightInitializer = weightInitializer;
     _config = config;
     _random = new Random();
 }
 public IMutator Create()
 {
     var config = new MutationConfigurationSettings
     {
         MutateAxonActivationFunction = true,
         MutateNumberOfHiddenLayers = true,
         MutateNumberOfHiddenNeuronsInLayer = true,
         MutateSomaBiasFunction = true,
         MutateSomaSummationFunction = true,
         MutateSynapseWeights = true
     };
     return Mutator.GetInstance(_networkFactory, _weightInitializer, config);
 }
        static void Main(string[] args)
        {
            NeuralNetworkConfigurationSettings networkConfig = new NeuralNetworkConfigurationSettings
            {
                NumInputNeurons = 1,
                NumOutputNeurons = 1,
                NumHiddenLayers = 2,
                NumHiddenNeurons = 3,
                SummationFunction = new SimpleSummation(),
                ActivationFunction = new TanhActivationFunction()
            };
            GenerationConfigurationSettings generationSettings = new GenerationConfigurationSettings
            {
                UseMultithreading = true,
                GenerationPopulation = 500
            };
            EvolutionConfigurationSettings evolutionSettings = new EvolutionConfigurationSettings
            {
                NormalMutationRate = 0.05,
                HighMutationRate = 0.5,
                GenerationsPerEpoch = 10,
                NumEpochs = 1000,
                NumTopEvalsToReport = 10
            };
            MutationConfigurationSettings mutationSettings = new MutationConfigurationSettings
            {
                MutateAxonActivationFunction = true,
                MutateNumberOfHiddenLayers = true,
                MutateNumberOfHiddenNeuronsInLayer = true,
                MutateSomaBiasFunction = true,
                MutateSomaSummationFunction = true,
                MutateSynapseWeights = true
            };
            var random = new RandomWeightInitializer(new Random());
            INeuralNetworkFactory factory = NeuralNetworkFactory.GetInstance(SomaFactory.GetInstance(networkConfig.SummationFunction), AxonFactory.GetInstance(networkConfig.ActivationFunction), SynapseFactory.GetInstance(new RandomWeightInitializer(new Random()), AxonFactory.GetInstance(networkConfig.ActivationFunction)), SynapseFactory.GetInstance(new ConstantWeightInitializer(1.0), AxonFactory.GetInstance(new IdentityActivationFunction())), random);
            IBreeder breeder = BreederFactory.GetInstance(factory, random).Create();
            IMutator mutator = MutatorFactory.GetInstance(factory, random).Create(mutationSettings);
            IEvalWorkingSet history = EvalWorkingSetFactory.GetInstance().Create(50);
            IEvaluatableFactory evaluatableFactory = new GameEvaluationFactory();

            IStorageProxy proxy = new NodeJSProxy(1, "http://localhost:3000", "123456789");
            IEpochAction action = new BestPerformerUpdater(proxy);

            var GAFactory = GeneticAlgorithmFactory.GetInstance(evaluatableFactory);
            IGeneticAlgorithm evolver = GAFactory.Create(networkConfig, generationSettings, evolutionSettings, factory, breeder, mutator, history, evaluatableFactory, action);
            evolver.RunSimulation();
        }
Esempio n. 4
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 public static IMutator GetInstance(INeuralNetworkFactory networkFactory, IWeightInitializer weightInitializer, MutationConfigurationSettings config)
 {
     return new Mutator(networkFactory, weightInitializer, config);
 }
 public IMutator Create(MutationConfigurationSettings config)
 {
     return Mutator.GetInstance(_networkFactory, _weightInitializer, config);
 }