Cellular neural network
Parallel computing paradigm / From Wikipedia, the free encyclopedia
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In computer science and machine learning, cellular neural networks (CNN) or cellular nonlinear networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces, solving partial differential equations, reducing non-visual problems to geometric maps, modelling biological vision and other sensory-motor organs.[1]
CNN is not to be confused with convolutional neural networks (also colloquially called CNN).