High Quality Content by WIKIPEDIA articles! Fuzzy cellular neural networks (FCNN) are special kinds of cellular neural networks. Each cell in an FCNN containing fuzzy operating abilities, yet, the entire network is governed by cellular computing laws. The design of FCNNs is based on fuzzy local rules. FCNNs were invented by Tao Yang in 1994 in China and popularized in 1996 in USA. The first VLSI chip to implement FCNN was implemented in Taiwan, R.O.C. Cellular neural 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.

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