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This is a feasibility study of the implementation of discrete time cellular neural network (DT-CNN) annealing on Cellular AutoMata on Content Addressable Memory (CAM2). CAM2 is a dedicated hardware for cellular automata (CA) and DT-CNN. We propose an annealing method on DT-CNN to solve quadratic assignment problems. This method uses the noise generated by chaotic behavior of class 3 CA. Since CA can...
This paper is first report of implementation of CNN on CAM2. CAM2 is a highly-parallel two-dimensional cellular automata architecture. Due to digital circuitry restriction, CNN on CAM2 operates as a discrete time CNN (DT-CNN), and each cell has quantized output function. In spite of such a restriction, we experimentally confirm that DT-CNN on CAM2 works nearly the same way of conventional CT-CNN model...
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