Abstract
Programs for the Cellular Neural Network - Universal
Machine are usually designed explicitly, and there is
no method to create them automatically. In this paper
we present a tool, based on a genetic approach, capable
of determining what CNN templates compose a CNN-UM
program performing a given image processing task, and
in which order they must be applied to the input. The
effectiveness of our system is demonstrated
experimentally on real-life problems, like the route
number detection on public transport vehicles.
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