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by aaggarwal
3594 days ago
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Nice catch! It is indeed closely related to cellular automata. CNN processors could be thought of as a hybrid between ANN (artificial neural networks) and CA (continuous/cellular automata) [1]. Like neural networks, they are large-scale nonlinear analog circuits that process signals in real time. Like cellular automata, they consist of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly only through their nearest neighbors [2]. The topology and dynamics of CNN processors closely resembles that of CA. Like most CNN processors, CA consists of a fixed-number of identical processors that are spatially discrete and topologically uniform. The difference is that most CNN processors are continuous-valued whereas CA have discrete-values [1]. You can also read this: http://www.nims.go.jp/nanophys6/Anirban%20Bandyopadhyay/site... [1] https://en.wikipedia.org/wiki/Cellular_neural_network#Relate... [2] http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7600 |
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