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.  1997 Elsevier Science Ltd.
cellular neural networks genetic algorithms image processing supervised learning