Cellular neural networks: a genetic algorithm for parameters optimization in artificial vision applications

An optimization method for some of the CNN's parameters, based on evolutionary strategies, is proposed. The new class of feedback template found is more effective in extracting features from the images that an autonomous vehicle acquires, than in the previous CNN's literature.

[1]  Marco Dorigo,et al.  Introduzione agli Algoritmi Naturali , 1994 .

[2]  Leon O. Chua,et al.  Cellular neural networks: applications , 1988 .

[3]  Leon O. Chua,et al.  CNN cloning template: hole-filler , 1990 .

[4]  Lin-Bao Yang,et al.  Cellular neural networks: theory , 1988 .

[5]  S. Taraglio.  The vision subsystem of the autonomous vehicle ROBERT , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).