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Title: course-intro-neural-java-start Download
 Description: travelling salesman problem example
 Downloaders recently: [More information of uploader faziafarik]
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intro-neural-net-course\.classpath
.......................\.project
.......................\bin
.......................\...\com
.......................\...\...\heatonresearch
.......................\...\...\..............\book
.......................\...\...\..............\....\introneuralnet
.......................\...\...\..............\....\..............\common
.......................\...\...\..............\....\..............\......\ReadCSV.class
.......................\...\...\..............\....\..............\neural
.......................\...\...\..............\....\..............\......\activation
.......................\...\...\..............\....\..............\......\..........\ActivationFunction.class
.......................\...\...\..............\....\..............\......\..........\ActivationLinear.class
.......................\...\...\..............\....\..............\......\..........\ActivationSigmoid.class
.......................\...\...\..............\....\..............\......\..........\ActivationTANH.class
.......................\...\...\..............\....\..............\......\anneal
.......................\...\...\..............\....\..............\......\......\SimulatedAnnealing.class
.......................\...\...\..............\....\..............\......\exception
.......................\...\...\..............\....\..............\......\.........\MatrixError.class
.......................\...\...\..............\....\..............\......\.........\NeuralNetworkError.class
.......................\...\...\..............\....\..............\......\feedforward
.......................\...\...\..............\....\..............\......\...........\FeedforwardLayer.class
.......................\...\...\..............\....\..............\......\...........\FeedforwardNetwork.class
.......................\...\...\..............\....\..............\......\...........\train
.......................\...\...\..............\....\..............\......\...........\.....\anneal
.......................\...\...\..............\....\..............\......\...........\.....\......\NeuralSimulatedAnnealing.class
.......................\...\...\..............\....\..............\......\...........\.....\backpropagation
.......................\...\...\..............\....\..............\......\...........\.....\...............\Backpropagation.class
.......................\...\...\..............\....\..............\......\...........\.....\...............\BackpropagationLayer.class
.......................\...\...\..............\....\..............\......\...........\.....\genetic
.......................\...\...\..............\....\..............\......\...........\.....\.......\NeuralChromosome.class
.......................\...\...\..............\....\..............\......\...........\.....\.......\NeuralGeneticAlgorithm.class
.......................\...\...\..............\....\..............\......\...........\.....\.......\TrainingSetNeuralChromosome.class
.......................\...\...\..............\....\..............\......\...........\.....\.......\TrainingSetNeuralGeneticAlgorithm.class
.......................\...\...\..............\....\..............\......\...........\.....\Train.class
.......................\...\...\..............\....\..............\......\genetic
.......................\...\...\..............\....\..............\......\.......\Chromosome.class
.......................\...\...\..............\....\..............\......\.......\GeneticAlgorithm.class
.......................\...\...\..............\....\..............\......\.......\MateWorker.class
.......................\...\...\..............\....\..............\......\hopfield
.......................\...\...\..............\....\..............\......\........\HopfieldNetwork.class
.......................\...\...\..............\....\..............\......\matrix
.......................\...\...\..............\....\..............\......\......\BiPolarUtil.class
.......................\...\...\..............\....\..............\......\......\Ma

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