Genetically Trained Cellular Neural Networks

Real-coded genetic algorithms on a parallel architecture are applied to optimize the synaptic couplings of a Cellular Neural Network for specific greyscale image processing tasks. Using supervised learning information in the fitness function, we propose the Genetic Algorithm as a general training method for Cellular Neural Networks. Copyright 1997 Elsevier Science Ltd.

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