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Cellular neural network

Known as: CNN (disambiguation) 
In computer science and machine learning, cellular neural networks (CNN) (or cellular nonlinear networks (CNN)) are a parallel computing paradigm… 
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16 relations
AlgorithmAnalog computerAndrew AdamatzkyArtificial neural network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2006
Review
2006
A Survey on Image Enhancement Techniques: Classical Spatial Filter, Neural Network, Cellular Neural Network, and Fuzzy Filter
Present day applications require various kinds of images and pictures as sources of information for interpretation and analysis… 
2004
2004
A new generalized cellular automata approach to optimization of fast packet switching
2004
2004
Global exponential stability for a class of retarded functional differential equations with applications in neural networks
1997
1997
Efficient implementation of neighborhood logic for cellular automata via the Cellular Neural Network Universal Machine
The main difficulty in implementing cellular automata on the Cellular Neural Network Universal Machine (CNNUM) is the need to… 
1996
1996
6/spl times/6 DPCNN: a programmable mixed analogue-digital chip for cellular neural networks
The implementation of a versatile VLSI chip represents an important step to develop cellular neural networks (CNN). In this paper… 
1994
1994
Deblurring of images by cellular neural networks with applications to microscopy
In this paper it is shown how the Cellular Neural Network (CNN) can be used to perform image and volume deblurring, with… 
Highly Cited
1993
Highly Cited
1993
A current-mode cellular neural network implementation
A compact and efficient current-mode circuit implementation for a cellular neural network is presented. The implementation… 
1991
1991
Signal processing using cellular neural networks
The cellular neural network (CNN) architecture combines the best features from traditional fully-connected analog neural networks… 
Highly Cited
1990
Highly Cited
1990
Detecting simple motion using cellular neural networks
The general framework of motion detection based on the discrete-time samples of the moving image is defined. Four types of motion… 
1990
1990
VLSI implementation of a reconfigurable cellular neural network containing local logic (CNNL)
A new integrated circuit cellular neural network implementation having digitally or continuously selectable template coefficients… 
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