Cellular neural networks: a genetic algorithm for parameters optimization in artificial vision applications
Sergio Taraglio, Andrea Zanela · 2002
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.