## Abstract A method for the definition of cellular nonβlinear networks able to find approximate minima of rather a large class of continuous functionals is illustrated through three examples. The method, based on the spatial discretization of continuous functionals and on the theory of potential f
Cellular non-linear networks for microcirculation applications
β Scribed by F. Sapuppo; M. Bucolo; M. Intaglietta; L. Fortuna; P. Arena
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 402 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0098-9886
- DOI
- 10.1002/cta.368
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## Abstract In this paper, a synthesis method developed in the last few years is applied to derive a cellular nonβlinear network (CNN) able to find an approximate solution to a variational imageβfusion problem. The functional to be minimized is based on regularization theory and takes into account
The cellular neural network (CNN) paradigm is a powerful framework for analogue non-linear processing arrays placed on a regular grid. In this paper we extend the current repertoire of CNN cloning template elements (atoms) by introducing additional non-linear and delay-type characteristics. In addit