Combines a feedforward neural network, parameters for which are 'learned' using an eliminational genetic algorithm. Utilizes two types of neurons: Type one (first hidden layer) - generates a similarity measurement between input data and stored parameters vectors Type two (second hidden layer - last layer) - sigmoid function. Built for an uni course.
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jurebb/NeuroEvolutionClassification
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Combines a feedforward neural network, parameters for which are 'learned' using an eliminational genetic algorithm.
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