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.
Zamparelli
Michele
M
HLRZ-KFA 52425, and Dipartimento di Matematica, Universitá degli Studi di Roma, La Sapienza, Rome