4 ms·
Hi there. I'm completely unfamiliar with CNN. Do they relate to Cellular Autonoma in any way other than sharing part of a name? And of course the fact that they
by frikk 10y ago
Hi there. I'm completely unfamiliar with CNN. Do they relate to Cellular Autonoma in any way other than sharing part of a name? And of course the fact that they communicate only with neighbors. Are there patterns of emergent behavior in the classical sense, or is it more closely related to a neural networks?
- aaggarwal 10y agoNice 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/CellularAutomataCA.htm http://www.nims.go.jp/nanophys6/Anirban%20Bandyopadhyay/site... [1] https://en.wikipedia.org/wiki/Cellular_neural_network#Related_processing_architectures https://en.wikipedia.org/wiki/Cellular_neural_network#Relate... [2] http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7600 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7600